diff --git a/.env b/.env
index 3c02ff2c..b5c5b569 100644
--- a/.env
+++ b/.env
@@ -14,3 +14,10 @@ SPRINGBOARD_BUCKET=mbta-ctd-dataplatform-dev-springboard
 ARCHIVE_BUCKET=mbta-ctd-dataplatform-dev-archive
 ERROR_BUCKET=mbta-ctd-dataplatform-dev-error
 INCOMING_BUCKET=mbta-ctd-dataplatform-dev-incoming
+# mbta-performance with personal access
+PUBLIC_ARCHIVE_BUCKET=mbta-ctd-dataplatform-dev-archive 
+
+# Tableau
+TABLEAU_USER=DOUPDATE
+TABLEAU_PASSWORD=DOUPDATE
+TABLEAU_SERVER=http://awtabDEV02.mbta.com
\ No newline at end of file
diff --git a/.github/actions/python_deps/action.yaml b/.github/actions/python_deps/action.yaml
index 1fe7d5e7..642e7e17 100644
--- a/.github/actions/python_deps/action.yaml
+++ b/.github/actions/python_deps/action.yaml
@@ -18,9 +18,9 @@ runs:
 
     - name: Install Python Deps
       working-directory: python_src
-      # env use python3.9 to force usage of python3.9 installed by asdf over system python version
+      # env use python3.10 to force usage of python3.10 installed by asdf over system python version
       run: |
-        poetry env use python3.9
+        poetry env use python3.10
         poetry install -v 
       shell: bash
       if: "!steps.python-cache.outputs.cache-hit"
diff --git a/.pylintrc b/.pylintrc
index 30de92f9..a94992b1 100644
--- a/.pylintrc
+++ b/.pylintrc
@@ -84,7 +84,7 @@ persistent=yes
 
 # Minimum Python version to use for version dependent checks. Will default to
 # the version used to run pylint.
-py-version=3.9
+py-version=3.10
 
 # Discover python modules and packages in the file system subtree.
 recursive=no
diff --git a/.tool-versions b/.tool-versions
index 312046cf..e767c3af 100644
--- a/.tool-versions
+++ b/.tool-versions
@@ -1,5 +1,5 @@
 poetry 1.4.2
-python 3.9.12
+python 3.10.13
 elixir 1.14.4-otp-25
 erlang 25.3
 direnv 2.32.2
\ No newline at end of file
diff --git a/python_src/Dockerfile b/python_src/Dockerfile
index faa81246..bc2aa356 100644
--- a/python_src/Dockerfile
+++ b/python_src/Dockerfile
@@ -1,4 +1,4 @@
-FROM python:3.9-slim
+FROM python:3.10-slim
 
 # Keeps Python from generating .pyc files in the container
 ENV PYTHONDONTWRITEBYTECODE 1
diff --git a/python_src/poetry.lock b/python_src/poetry.lock
index f7163ab5..80e1ab2a 100644
--- a/python_src/poetry.lock
+++ b/python_src/poetry.lock
@@ -2,14 +2,14 @@
 
 [[package]]
 name = "alembic"
-version = "1.10.3"
+version = "1.12.0"
 description = "A database migration tool for SQLAlchemy."
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "alembic-1.10.3-py3-none-any.whl", hash = "sha256:b2e0a6cfd3a8ce936a1168320bcbe94aefa3f4463cd773a968a55071beb3cd37"},
-    {file = "alembic-1.10.3.tar.gz", hash = "sha256:32a69b13a613aeb7e8093f242da60eff9daed13c0df02fff279c1b06c32965d2"},
+    {file = "alembic-1.12.0-py3-none-any.whl", hash = "sha256:03226222f1cf943deee6c85d9464261a6c710cd19b4fe867a3ad1f25afda610f"},
+    {file = "alembic-1.12.0.tar.gz", hash = "sha256:8e7645c32e4f200675e69f0745415335eb59a3663f5feb487abfa0b30c45888b"},
 ]
 
 [package.dependencies]
@@ -34,14 +34,14 @@ files = [
 
 [[package]]
 name = "astroid"
-version = "2.15.2"
+version = "2.15.8"
 description = "An abstract syntax tree for Python with inference support."
 category = "dev"
 optional = false
 python-versions = ">=3.7.2"
 files = [
-    {file = "astroid-2.15.2-py3-none-any.whl", hash = "sha256:dea89d9f99f491c66ac9c04ebddf91e4acf8bd711722175fe6245c0725cc19bb"},
-    {file = "astroid-2.15.2.tar.gz", hash = "sha256:6e61b85c891ec53b07471aec5878f4ac6446a41e590ede0f2ce095f39f7d49dd"},
+    {file = "astroid-2.15.8-py3-none-any.whl", hash = "sha256:1aa149fc5c6589e3d0ece885b4491acd80af4f087baafa3fb5203b113e68cd3c"},
+    {file = "astroid-2.15.8.tar.gz", hash = "sha256:6c107453dffee9055899705de3c9ead36e74119cee151e5a9aaf7f0b0e020a6a"},
 ]
 
 [package.dependencies]
@@ -54,18 +54,18 @@ wrapt = [
 
 [[package]]
 name = "asttokens"
-version = "2.2.1"
+version = "2.4.0"
 description = "Annotate AST trees with source code positions"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "asttokens-2.2.1-py2.py3-none-any.whl", hash = "sha256:6b0ac9e93fb0335014d382b8fa9b3afa7df546984258005da0b9e7095b3deb1c"},
-    {file = "asttokens-2.2.1.tar.gz", hash = "sha256:4622110b2a6f30b77e1473affaa97e711bc2f07d3f10848420ff1898edbe94f3"},
+    {file = "asttokens-2.4.0-py2.py3-none-any.whl", hash = "sha256:cf8fc9e61a86461aa9fb161a14a0841a03c405fa829ac6b202670b3495d2ce69"},
+    {file = "asttokens-2.4.0.tar.gz", hash = "sha256:2e0171b991b2c959acc6c49318049236844a5da1d65ba2672c4880c1c894834e"},
 ]
 
 [package.dependencies]
-six = "*"
+six = ">=1.12.0"
 
 [package.extras]
 test = ["astroid", "pytest"]
@@ -84,37 +84,34 @@ files = [
 
 [[package]]
 name = "black"
-version = "23.3.0"
+version = "23.9.1"
 description = "The uncompromising code formatter."
 category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-    {file = "black-23.3.0-cp310-cp310-macosx_10_16_universal2.whl", hash = "sha256:67de8d0c209eb5b330cce2469503de11bca4085880d62f1628bd9972cc3366b9"},
-    {file = "black-23.3.0-cp310-cp310-macosx_10_16_x86_64.whl", hash = "sha256:7c3eb7cea23904399866c55826b31c1f55bbcd3890ce22ff70466b907b6775c2"},
-    {file = "black-23.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:32daa9783106c28815d05b724238e30718f34155653d4d6e125dc7daec8e260c"},
-    {file = "black-23.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:35d1381d7a22cc5b2be2f72c7dfdae4072a3336060635718cc7e1ede24221d6c"},
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+    {file = "black-23.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:50254ebfa56aa46a9fdd5d651f9637485068a1adf42270148cd101cdf56e0ad9"},
+    {file = "black-23.9.1-cp39-cp39-win_amd64.whl", hash = "sha256:403397c033adbc45c2bd41747da1f7fc7eaa44efbee256b53842470d4ac5a70f"},
+    {file = "black-23.9.1-py3-none-any.whl", hash = "sha256:6ccd59584cc834b6d127628713e4b6b968e5f79572da66284532525a042549f9"},
+    {file = "black-23.9.1.tar.gz", hash = "sha256:24b6b3ff5c6d9ea08a8888f6977eae858e1f340d7260cf56d70a49823236b62d"},
 ]
 
 [package.dependencies]
@@ -124,7 +121,7 @@ packaging = ">=22.0"
 pathspec = ">=0.9.0"
 platformdirs = ">=2"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
+typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
@@ -134,131 +131,231 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.26.110"
+version = "1.28.62"
 description = "The AWS SDK for Python"
 category = "main"
 optional = false
 python-versions = ">= 3.7"
 files = [
-    {file = "boto3-1.26.110-py3-none-any.whl", hash = "sha256:8972a5e0a04ea6f477c41e390765a46ec7bcffb62f99d4a0774ce70fb87bea59"},
-    {file = "boto3-1.26.110.tar.gz", hash = "sha256:97d942d958cac28687187b89ee88ac760e0fa3007094cb1d6b16e241144306f3"},
+    {file = "boto3-1.28.62-py3-none-any.whl", hash = "sha256:0dfa2fc96ccafce4feb23044d6cba8b25075ad428a0c450d369d099c6a1059d2"},
+    {file = "boto3-1.28.62.tar.gz", hash = "sha256:148eeba0f1867b3db5b3e5ae2997d75a94d03fad46171374a0819168c36f7ed0"},
 ]
 
 [package.dependencies]
-botocore = ">=1.29.110,<1.30.0"
+botocore = ">=1.31.62,<1.32.0"
 jmespath = ">=0.7.1,<2.0.0"
-s3transfer = ">=0.6.0,<0.7.0"
+s3transfer = ">=0.7.0,<0.8.0"
 
 [package.extras]
 crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.29.110"
+version = "1.31.62"
 description = "Low-level, data-driven core of boto 3."
 category = "main"
 optional = false
 python-versions = ">= 3.7"
 files = [
-    {file = "botocore-1.29.110-py3-none-any.whl", hash = "sha256:39879fcc3d263513f9ba92cc5060b5a4dbe54f758a917be29c7a71132e34f399"},
-    {file = "botocore-1.29.110.tar.gz", hash = "sha256:9d5054159782b19f27bff3e5a65bc494dc323255e889ea3abec002711a1fb0c0"},
+    {file = "botocore-1.31.62-py3-none-any.whl", hash = "sha256:be792d806afc064694a2d0b9b25779f3ca0c1584b29a35ac32e67f0064ddb8b7"},
+    {file = "botocore-1.31.62.tar.gz", hash = "sha256:272b78ac65256b6294cb9cdb0ac484d447ad3a85642e33cb6a3b1b8afee15a4c"},
 ]
 
 [package.dependencies]
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
-urllib3 = ">=1.25.4,<1.27"
+urllib3 = {version = ">=1.25.4,<2.1", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.16.9)"]
+crt = ["awscrt (==0.16.26)"]
+
+[[package]]
+name = "certifi"
+version = "2023.7.22"
+description = "Python package for providing Mozilla's CA Bundle."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
+    {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
+]
 
 [[package]]
 name = "cffi"
-version = "1.15.1"
+version = "1.16.0"
 description = "Foreign Function Interface for Python calling C code."
-category = "dev"
+category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
-    {file = "cffi-1.15.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a66d3508133af6e8548451b25058d5812812ec3798c886bf38ed24a98216fab2"},
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 ]
 
 [package.dependencies]
 pycparser = "*"
 
+[[package]]
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+]
+
 [[package]]
 name = "click"
-version = "8.1.3"
+version = "8.1.7"
 description = "Composable command line interface toolkit"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "click-8.1.3.tar.gz", hash = "sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e"},
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 ]
 
 [package.dependencies]
@@ -278,18 +375,18 @@ files = [
 
 [[package]]
 name = "comm"
-version = "0.1.3"
+version = "0.1.4"
 description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
-traitlets = ">=5.3"
+traitlets = ">=4"
 
 [package.extras]
 lint = ["black (>=22.6.0)", "mdformat (>0.7)", "mdformat-gfm (>=0.3.5)", "ruff (>=0.0.156)"]
@@ -298,30 +395,30 @@ typing = ["mypy (>=0.990)"]
 
 [[package]]
 name = "debugpy"
-version = "1.6.7"
+version = "1.8.0"
 description = "An implementation of the Debug Adapter Protocol for Python"
 category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "debugpy-1.8.0.zip", hash = "sha256:12af2c55b419521e33d5fb21bd022df0b5eb267c3e178f1d374a63a2a6bdccd0"},
 ]
 
 [[package]]
@@ -336,16 +433,28 @@ files = [
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
 ]
 
+[[package]]
+name = "defusedxml"
+version = "0.7.1"
+description = "XML bomb protection for Python stdlib modules"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+    {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
+    {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
+]
+
 [[package]]
 name = "dill"
-version = "0.3.6"
-description = "serialize all of python"
+version = "0.3.7"
+description = "serialize all of Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "dill-0.3.7-py3-none-any.whl", hash = "sha256:76b122c08ef4ce2eedcd4d1abd8e641114bfc6c2867f49f3c41facf65bf19f5e"},
+    {file = "dill-0.3.7.tar.gz", hash = "sha256:cc1c8b182eb3013e24bd475ff2e9295af86c1a38eb1aff128dac8962a9ce3c03"},
 ]
 
 [package.extras]
@@ -353,14 +462,14 @@ graph = ["objgraph (>=1.7.2)"]
 
 [[package]]
 name = "exceptiongroup"
-version = "1.1.1"
+version = "1.1.3"
 description = "Backport of PEP 654 (exception groups)"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "exceptiongroup-1.1.3-py3-none-any.whl", hash = "sha256:343280667a4585d195ca1cf9cef84a4e178c4b6cf2274caef9859782b567d5e3"},
+    {file = "exceptiongroup-1.1.3.tar.gz", hash = "sha256:097acd85d473d75af5bb98e41b61ff7fe35efe6675e4f9370ec6ec5126d160e9"},
 ]
 
 [package.extras]
@@ -368,117 +477,108 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "executing"
-version = "1.2.0"
+version = "2.0.0"
 description = "Get the currently executing AST node of a frame, and other information"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
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+    {file = "executing-2.0.0-py2.py3-none-any.whl", hash = "sha256:06df6183df67389625f4e763921c6cf978944721abf3e714000200aab95b0657"},
+    {file = "executing-2.0.0.tar.gz", hash = "sha256:0ff053696fdeef426cda5bd18eacd94f82c91f49823a2e9090124212ceea9b08"},
 ]
 
 [package.extras]
-tests = ["asttokens", "littleutils", "pytest", "rich"]
+tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
 [[package]]
 name = "greenlet"
-version = "2.0.2"
+version = "3.0.0"
 description = "Lightweight in-process concurrent programming"
 category = "main"
 optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*"
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 ]
 
 [package.extras]
-docs = ["Sphinx", "docutils (<0.18)"]
+docs = ["Sphinx"]
 test = ["objgraph", "psutil"]
 
 [[package]]
-name = "importlib-metadata"
-version = "6.6.0"
-description = "Read metadata from Python packages"
-category = "dev"
+name = "idna"
+version = "3.4"
+description = "Internationalized Domain Names in Applications (IDNA)"
+category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.5"
 files = [
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+    {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
+    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
 ]
 
-[package.dependencies]
-zipp = ">=0.5"
-
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-perf = ["ipython"]
-testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
-
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
@@ -493,14 +593,14 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "6.22.0"
+version = "6.25.2"
 description = "IPython Kernel for Jupyter"
 category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ipykernel-6.22.0-py3-none-any.whl", hash = "sha256:1ae6047c1277508933078163721bbb479c3e7292778a04b4bacf0874550977d6"},
-    {file = "ipykernel-6.22.0.tar.gz", hash = "sha256:302558b81f1bc22dc259fb2a0c5c7cf2f4c0bdb21b50484348f7bafe7fb71421"},
+    {file = "ipykernel-6.25.2-py3-none-any.whl", hash = "sha256:2e2ee359baba19f10251b99415bb39de1e97d04e1fab385646f24f0596510b77"},
+    {file = "ipykernel-6.25.2.tar.gz", hash = "sha256:f468ddd1f17acb48c8ce67fcfa49ba6d46d4f9ac0438c1f441be7c3d1372230b"},
 ]
 
 [package.dependencies]
@@ -527,14 +627,14 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio"
 
 [[package]]
 name = "ipython"
-version = "8.13.2"
+version = "8.16.1"
 description = "IPython: Productive Interactive Computing"
 category = "dev"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "ipython-8.13.2-py3-none-any.whl", hash = "sha256:ffca270240fbd21b06b2974e14a86494d6d29290184e788275f55e0b55914926"},
-    {file = "ipython-8.13.2.tar.gz", hash = "sha256:7dff3fad32b97f6488e02f87b970f309d082f758d7b7fc252e3b19ee0e432dbb"},
+    {file = "ipython-8.16.1-py3-none-any.whl", hash = "sha256:0852469d4d579d9cd613c220af7bf0c9cc251813e12be647cb9d463939db9b1e"},
+    {file = "ipython-8.16.1.tar.gz", hash = "sha256:ad52f58fca8f9f848e256c629eff888efc0528c12fe0f8ec14f33205f23ef938"},
 ]
 
 [package.dependencies]
@@ -542,6 +642,7 @@ appnope = {version = "*", markers = "sys_platform == \"darwin\""}
 backcall = "*"
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 decorator = "*"
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
 jedi = ">=0.16"
 matplotlib-inline = "*"
 pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
@@ -550,12 +651,11 @@ prompt-toolkit = ">=3.0.30,<3.0.37 || >3.0.37,<3.1.0"
 pygments = ">=2.4.0"
 stack-data = "*"
 traitlets = ">=5"
-typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
 
 [package.extras]
-all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
+all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
 black = ["black"]
-doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
+doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
 kernel = ["ipykernel"]
 nbconvert = ["nbconvert"]
 nbformat = ["nbformat"]
@@ -585,23 +685,23 @@ requirements-deprecated-finder = ["pip-api", "pipreqs"]
 
 [[package]]
 name = "jedi"
-version = "0.18.2"
+version = "0.19.1"
 description = "An autocompletion tool for Python that can be used for text editors."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "jedi-0.18.2-py2.py3-none-any.whl", hash = "sha256:203c1fd9d969ab8f2119ec0a3342e0b49910045abe6af0a3ae83a5764d54639e"},
-    {file = "jedi-0.18.2.tar.gz", hash = "sha256:bae794c30d07f6d910d32a7048af09b5a39ed740918da923c6b780790ebac612"},
+    {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
+    {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
 ]
 
 [package.dependencies]
-parso = ">=0.8.0,<0.9.0"
+parso = ">=0.8.3,<0.9.0"
 
 [package.extras]
 docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
-qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
 name = "jmespath"
@@ -617,18 +717,17 @@ files = [
 
 [[package]]
 name = "jupyter-client"
-version = "8.2.0"
+version = "8.4.0"
 description = "Jupyter protocol implementation and client libraries"
 category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_client-8.2.0-py3-none-any.whl", hash = "sha256:b18219aa695d39e2ad570533e0d71fb7881d35a873051054a84ee2a17c4b7389"},
-    {file = "jupyter_client-8.2.0.tar.gz", hash = "sha256:9fe233834edd0e6c0aa5f05ca2ab4bdea1842bfd2d8a932878212fc5301ddaf0"},
+    {file = "jupyter_client-8.4.0-py3-none-any.whl", hash = "sha256:6a2a950ec23a8f62f9e4c66acec7f0ea6c7d1f80ba0992e747b10c56ce2e6dbe"},
+    {file = "jupyter_client-8.4.0.tar.gz", hash = "sha256:dc1b857d5d7d76ac101766c6e9b646bf18742721126e72e5d484c75a993cada2"},
 ]
 
 [package.dependencies]
-importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
 jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
 python-dateutil = ">=2.8.2"
 pyzmq = ">=23.0"
@@ -641,14 +740,14 @@ test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pyt
 
 [[package]]
 name = "jupyter-core"
-version = "5.3.0"
+version = "5.4.0"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "jupyter_core-5.4.0-py3-none-any.whl", hash = "sha256:66e252f675ac04dcf2feb6ed4afb3cd7f68cf92f483607522dc251f32d471571"},
+    {file = "jupyter_core-5.4.0.tar.gz", hash = "sha256:e4b98344bb94ee2e3e6c4519a97d001656009f9cb2b7f2baf15b3c205770011d"},
 ]
 
 [package.dependencies]
@@ -728,62 +827,72 @@ testing = ["pytest"]
 
 [[package]]
 name = "markupsafe"
-version = "2.1.2"
+version = "2.1.3"
 description = "Safely add untrusted strings to HTML/XML markup."
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 description = "Core utilities for Python packages"
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+category = "main"
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 python-versions = ">=3.7"
 files = [
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 [[package]]
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@@ -1001,14 +1106,14 @@ testing = ["docopt", "pytest (<6.0.0)"]
 
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 description = "Utility library for gitignore style pattern matching of file paths."
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 python-versions = ">=3.7"
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 python-versions = ">=3.7"
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 [package.extras]
@@ -1072,14 +1177,14 @@ testing = ["pytest", "pytest-benchmark"]
 
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+version = "3.0.39"
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 category = "dev"
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 python-versions = ">=3.7.0"
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 [package.dependencies]
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 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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 [package.extras]
@@ -1114,25 +1219,23 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
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+version = "2.9.9"
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@@ -1208,7 +1311,7 @@ numpy = ">=1.16.6"
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 description = "C parser in Python"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -1218,14 +1321,14 @@ files = [
 
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@@ -1263,14 +1365,14 @@ testutils = ["gitpython (>3)"]
 
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 [package.extras]
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 [[package]]
 name = "python-dateutil"
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@@ -1544,14 +1691,14 @@ sqlcipher = ["sqlcipher3-binary"]
 
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@@ -1559,14 +1706,14 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
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@@ -1577,6 +1724,43 @@ pure-eval = "*"
 [package.extras]
 tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
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+
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+
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -1591,104 +1775,105 @@ files = [
 
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+version = "5.11.2"
 description = "Traitlets Python configuration system"
 category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "traitlets-5.9.0-py3-none-any.whl", hash = "sha256:9e6ec080259b9a5940c797d58b613b5e31441c2257b87c2e795c5228ae80d2d8"},
-    {file = "traitlets-5.9.0.tar.gz", hash = "sha256:f6cde21a9c68cf756af02035f72d5a723bf607e862e7be33ece505abf4a3bad9"},
+    {file = "traitlets-5.11.2-py3-none-any.whl", hash = "sha256:98277f247f18b2c5cabaf4af369187754f4fb0e85911d473f72329db8a7f4fae"},
+    {file = "traitlets-5.11.2.tar.gz", hash = "sha256:7564b5bf8d38c40fa45498072bf4dc5e8346eb087bbf1e2ae2d8774f6a0f078e"},
 ]
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.5.1)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
 
 [[package]]
 name = "types-pytz"
-version = "2023.3.0.1"
+version = "2023.3.1.1"
 description = "Typing stubs for pytz"
 category = "main"
 optional = false
 python-versions = "*"
 files = [
-    {file = "types-pytz-2023.3.0.1.tar.gz", hash = "sha256:1a7b8d4aac70981cfa24478a41eadfcd96a087c986d6f150d77e3ceb3c2bdfab"},
-    {file = "types_pytz-2023.3.0.1-py3-none-any.whl", hash = "sha256:65152e872137926bb67a8fe6cc9cfd794365df86650c5d5fdc7b167b0f38892e"},
+    {file = "types-pytz-2023.3.1.1.tar.gz", hash = "sha256:cc23d0192cd49c8f6bba44ee0c81e4586a8f30204970fc0894d209a6b08dab9a"},
+    {file = "types_pytz-2023.3.1.1-py3-none-any.whl", hash = "sha256:1999a123a3dc0e39a2ef6d19f3f8584211de9e6a77fe7a0259f04a524e90a5cf"},
 ]
 
 [[package]]
 name = "typing-extensions"
-version = "4.5.0"
-description = "Backported and Experimental Type Hints for Python 3.7+"
+version = "4.8.0"
+description = "Backported and Experimental Type Hints for Python 3.8+"
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.5.0-py3-none-any.whl", hash = "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"},
-    {file = "typing_extensions-4.5.0.tar.gz", hash = "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb"},
+    {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
+    {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
 ]
 
 [[package]]
 name = "urllib3"
-version = "1.26.15"
+version = "2.0.6"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">=3.7"
 files = [
-    {file = "urllib3-1.26.15-py2.py3-none-any.whl", hash = "sha256:aa751d169e23c7479ce47a0cb0da579e3ede798f994f5816a74e4f4500dcea42"},
-    {file = "urllib3-1.26.15.tar.gz", hash = "sha256:8a388717b9476f934a21484e8c8e61875ab60644d29b9b39e11e4b9dc1c6b305"},
+    {file = "urllib3-2.0.6-py3-none-any.whl", hash = "sha256:7a7c7003b000adf9e7ca2a377c9688bbc54ed41b985789ed576570342a375cd2"},
+    {file = "urllib3-2.0.6.tar.gz", hash = "sha256:b19e1a85d206b56d7df1d5e683df4a7725252a964e3993648dd0fb5a1c157564"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
-socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "wcwidth"
-version = "0.2.6"
+version = "0.2.8"
 description = "Measures the displayed width of unicode strings in a terminal"
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
-    {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
+    {file = "wcwidth-0.2.8-py2.py3-none-any.whl", hash = "sha256:77f719e01648ed600dfa5402c347481c0992263b81a027344f3e1ba25493a704"},
+    {file = "wcwidth-0.2.8.tar.gz", hash = "sha256:8705c569999ffbb4f6a87c6d1b80f324bd6db952f5eb0b95bc07517f4c1813d4"},
 ]
 
 [[package]]
@@ -1776,23 +1961,7 @@ files = [
     {file = "wrapt-1.15.0.tar.gz", hash = "sha256:d06730c6aed78cee4126234cf2d071e01b44b915e725a6cb439a879ec9754a3a"},
 ]
 
-[[package]]
-name = "zipp"
-version = "3.15.0"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-category = "dev"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
-    {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
-]
-
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
-
 [metadata]
 lock-version = "2.0"
-python-versions = "^3.9"
-content-hash = "c2a124a2b86705112334456a42c1983343f4e044a27bb5d44ca87da92731e572"
+python-versions = "^3.10"
+content-hash = "77b38ff691fc74bee0fb6bfa0a4ba6c460b6a5ffa587f7fe202902c88596b9c3"
diff --git a/python_src/pyproject.toml b/python_src/pyproject.toml
index 3093c97b..89185c59 100644
--- a/python_src/pyproject.toml
+++ b/python_src/pyproject.toml
@@ -13,12 +13,13 @@ ingestion = 'lamp_py.ingestion.pipeline:start'
 performance_manager = 'lamp_py.performance_manager.pipeline:start'
 seed_metadata = 'lamp_py.postgres.seed_metadata:run'
 snapshot = 'lamp_py.postgres.snapshot:run'
+hyper_update = 'lamp_py.tableau.pipeline:start_hyper_updates'
 
 [tool.poetry.dependencies]
-python = "^3.9"
+python = "^3.10"
 SQLAlchemy = "^1.4.39"
 pyarrow = "^13.0.0"
-boto3 = "^1.23.3"
+boto3 = "^1.28.62"
 pandas = "^1.4.3"
 numpy = "^1.23.1"
 psycopg2 = "^2.9.3"
@@ -26,6 +27,8 @@ psutil = "^5.9.1"
 schedule = "^1.1.0"
 alembic = "^1.10.2"
 types-pytz = "^2023.3.0.1"
+tableauhyperapi = "^0.0.17971"
+tableauserverclient = "^0.28"
 
 [tool.poetry.dev-dependencies]
 black = "^23.1.0"
@@ -48,7 +51,7 @@ disallow_untyped_defs = true
 ignore_missing_imports = true
 plugins = ["sqlalchemy.ext.mypy.plugin"]
 pretty = true
-python_version = 3.9
+python_version = "3.10"
 warn_unreachable = true
 warn_unused_ignores = true
 
diff --git a/python_src/src/lamp_py/aws/s3.py b/python_src/src/lamp_py/aws/s3.py
index 95559a3e..f7f9aecc 100644
--- a/python_src/src/lamp_py/aws/s3.py
+++ b/python_src/src/lamp_py/aws/s3.py
@@ -32,6 +32,79 @@ def get_s3_client() -> boto3.client:
     return boto3.client("s3")
 
 
+def upload_file(file_name: str, object_path: str) -> bool:
+    """
+    Upload a local file to an S3 Bucket
+
+    :param file_name: local file path to upload
+    :param object_path: S3 object path to upload to (including bucket)
+
+    :return: True if file was uploaded, else False
+    """
+    upload_log = ProcessLogger(
+        "s3_upload_file",
+        file_name=file_name,
+        object_path=object_path,
+    )
+    upload_log.log_start()
+
+    try:
+        if not os.path.exists(file_name):
+            raise FileNotFoundError(f"{file_name} not found locally")
+
+        object_path = object_path.replace("s3://", "")
+        bucket, object_name = object_path.split("/", 1)
+
+        s3_client = get_s3_client()
+
+        s3_client.upload_file(file_name, bucket, object_name)
+
+        upload_log.log_complete()
+
+        return True
+
+    except Exception as exception:
+        upload_log.log_failure(exception=exception)
+        return False
+
+
+def download_file(object_path: str, file_name: str) -> bool:
+    """
+    Download an S3 object to a local file
+    will overwrite local file, if exists
+
+    :param object_path: S3 object path to download from (including bucket)
+    :param file_name: local file path to save object to
+
+    :return: True if file was downloaded, else False
+    """
+    download_log = ProcessLogger(
+        "s3_download_file",
+        file_name=file_name,
+        object_path=object_path,
+    )
+    download_log.log_start()
+
+    try:
+        if os.path.exists(file_name):
+            os.remove(file_name)
+
+        object_path = object_path.replace("s3://", "")
+        bucket, object_name = object_path.split("/", 1)
+
+        s3_client = get_s3_client()
+
+        s3_client.download_file(bucket, object_name, file_name)
+
+        download_log.log_complete()
+
+        return True
+
+    except Exception as exception:
+        download_log.log_failure(exception=exception)
+        return False
+
+
 def get_zip_buffer(filename: str) -> IO[bytes]:
     """
     Get a buffer for a zip file from s3 so that it can be read by zipfile
diff --git a/python_src/src/lamp_py/performance_manager/pipeline.py b/python_src/src/lamp_py/performance_manager/pipeline.py
index 6e6bf6e0..6422828f 100755
--- a/python_src/src/lamp_py/performance_manager/pipeline.py
+++ b/python_src/src/lamp_py/performance_manager/pipeline.py
@@ -14,6 +14,7 @@
 from lamp_py.runtime_utils.alembic_migration import alembic_upgrade_to_head
 from lamp_py.runtime_utils.env_validation import validate_environment
 from lamp_py.runtime_utils.process_logger import ProcessLogger
+from lamp_py.tableau.pipeline import start_parquet_updates
 
 from .flat_file import write_flat_files
 from .l0_gtfs_rt_events import process_gtfs_rt_files
@@ -67,6 +68,7 @@ def iteration() -> None:
             process_static_tables(db_manager)
             process_gtfs_rt_files(db_manager)
             write_flat_files(db_manager)
+            start_parquet_updates()
 
             process_logger.log_complete()
         except Exception as exception:
diff --git a/python_src/src/lamp_py/tableau/__init__.py b/python_src/src/lamp_py/tableau/__init__.py
new file mode 100644
index 00000000..3bf3b833
--- /dev/null
+++ b/python_src/src/lamp_py/tableau/__init__.py
@@ -0,0 +1 @@
+"""Utilites for Interacting with Tableau and Hyper files"""
diff --git a/python_src/src/lamp_py/tableau/hyper.py b/python_src/src/lamp_py/tableau/hyper.py
new file mode 100644
index 00000000..239f311d
--- /dev/null
+++ b/python_src/src/lamp_py/tableau/hyper.py
@@ -0,0 +1,323 @@
+import os
+from abc import ABC
+from abc import abstractmethod
+from itertools import chain
+from typing import Dict
+
+import pyarrow
+from pyarrow import fs
+import pyarrow.parquet as pq
+
+from tableauhyperapi import (
+    TableDefinition,
+    SqlType,
+    HyperProcess,
+    Connection,
+    Telemetry,
+    CreateMode,
+    escape_string_literal,
+)
+
+from lamp_py.postgres.postgres_utils import DatabaseManager
+from lamp_py.runtime_utils.process_logger import ProcessLogger
+from lamp_py.aws.s3 import (
+    download_file,
+    upload_file,
+)
+
+from .server import (
+    overwrite_datasource,
+    datasource_from_name,
+)
+
+
+class HyperJob(ABC):  # pylint: disable=R0902
+    """
+    Abstract Base Class for Parquet / Tableau HyperFile jobs
+    """
+
+    def __init__(
+        self,
+        hyper_file_name: str,
+        remote_parquet_path: str,
+        project_name: str = "Staging Data",
+    ) -> None:
+        self.hyper_file_name = hyper_file_name
+        self.hyper_table_name = hyper_file_name.replace(".hyper", "")
+        self.remote_parquet_path = remote_parquet_path
+        self.project_name = project_name
+        self.local_parquet_path = "/tmp/local.parquet"
+        self.local_hyper_path = f"/tmp/{hyper_file_name}"
+
+        self.remote_fs = fs.LocalFileSystem()
+        if remote_parquet_path.startswith("s3://"):
+            self.remote_fs = fs.S3FileSystem()
+            self.remote_parquet_path = self.remote_parquet_path.replace(
+                "s3://", ""
+            )
+
+        self.db_manager = DatabaseManager()
+
+    @property
+    @abstractmethod
+    def parquet_schema(self) -> pyarrow.schema:
+        """
+        Schema for Job parquet file
+        """
+
+    @abstractmethod
+    def create_parquet(self) -> None:
+        """
+        Business logic to create new Job parquet file
+        """
+
+    @abstractmethod
+    def update_parquet(self) -> bool:
+        """
+        Business logic to update existing Job parquet file
+
+        :return: True if local parquet file was updated, else False
+        """
+
+    def convert_parquet_dtype(self, dtype: pyarrow.DataType) -> SqlType:
+        """
+        Converts pyarrow.DataType into HyperFile SqlType
+        for creation of HyperFile TableDefinition object
+
+        Tableau HyperFiles do not support unsigned integers
+
+        SqlType.smallint(): 2 byte signed i16
+        SqlType.int(): 4 byte signed i32
+        SqlType.bigint(): 8 byte signed i64
+        """
+        dtype = str(dtype)
+        dtype_map = {
+            "int8": SqlType.small_int(),
+            "int16": SqlType.small_int(),
+            "int32": SqlType.int(),
+            "int64": SqlType.big_int(),
+            "bool": SqlType.bool(),
+            "float16": SqlType.double(),
+            "float32": SqlType.double(),
+            "float64": SqlType.double(),
+        }
+
+        map_check = dtype_map.get(dtype)
+        if map_check is not None:
+            return map_check
+
+        if dtype.startswith("date32"):
+            return SqlType.date()
+
+        if dtype.startswith("timestamp"):
+            return SqlType.timestamp()
+
+        return SqlType.text()
+
+    def max_stats_of_parquet(self) -> Dict[str, str]:
+        """
+        Create dictionary of maximum value for each column of locally saved
+        parquet file
+
+        :return Dict[column_name: max_column_value]
+        """
+        # get row_groups from parquet metadata (list of dicts)
+        row_groups = pq.read_metadata(self.local_parquet_path).to_dict()[
+            "row_groups"
+        ]
+
+        # explode columns element from all row  groups into flat list
+        parquet_column_stats = list(
+            chain.from_iterable(
+                [row_group["columns"] for row_group in row_groups]
+            )
+        )
+
+        return {
+            col["path_in_schema"]: col["statistics"].get("max")
+            for col in parquet_column_stats
+            if col["statistics"]
+        }
+
+    def create_local_hyper(self) -> int:
+        """
+        Create local hyper file, from remote parquet file
+        """
+        if os.path.exists(self.local_hyper_path):
+            os.remove(self.local_hyper_path)
+
+        # create HyperFile TableDefinition based on Job parquet schema
+        hyper_table_schema = TableDefinition(
+            table_name=self.hyper_table_name,
+            columns=[
+                TableDefinition.Column(
+                    col.name, self.convert_parquet_dtype(col.type)
+                )
+                for col in self.parquet_schema
+            ],
+        )
+
+        download_file(
+            object_path=self.remote_parquet_path,
+            file_name=self.local_parquet_path,
+        )
+
+        # create local HyperFile based on remote parquet file
+        # log_config = "" disables creation of local logfile
+        with HyperProcess(
+            telemetry=Telemetry.DO_NOT_SEND_USAGE_DATA_TO_TABLEAU,
+            parameters={"log_config": ""},
+        ) as hyper:
+            with Connection(
+                endpoint=hyper.endpoint,
+                database=self.local_hyper_path,
+                create_mode=CreateMode.CREATE_AND_REPLACE,
+            ) as connect:
+                connect.catalog.create_table(
+                    table_definition=hyper_table_schema
+                )
+                copy_command = (
+                    f"COPY {hyper_table_schema.table_name} "
+                    f"FROM {escape_string_literal(self.local_parquet_path)} "
+                    "WITH (FORMAT PARQUET)"
+                )
+
+                count_inserted = connect.execute_command(copy_command)
+
+        os.remove(self.local_parquet_path)
+
+        return count_inserted
+
+    def run_hyper(self) -> None:
+        """
+        Update Tableau HyperFile if remote parquet file was modified
+        """
+        max_retries = 3
+        process_log = ProcessLogger(
+            "hyper_job_run_hyper",
+            hyper_file_name=self.hyper_file_name,
+            tableau_project=self.project_name,
+            max_retries=max_retries,
+        )
+        process_log.log_start()
+
+        for retry_count in range(max_retries):
+            try:
+                process_log.add_metadata(retry_count=retry_count)
+                # get datasource from Tableau to check "updated_at" datetime
+                datasource = datasource_from_name(self.hyper_table_name)
+
+                # get file_info on remote parquet file to check "mtime" datetime
+                pq_file_info = self.remote_fs.get_file_info(
+                    self.remote_parquet_path
+                )
+
+                # Parquet file does not exist, can not run upload
+                if pq_file_info.type == fs.FileType.NotFound:
+                    raise FileNotFoundError(
+                        f"{self.remote_parquet_path} does not exist"
+                    )
+
+                process_log.add_metadata(
+                    parquet_last_mod=pq_file_info.mtime.isoformat(),
+                )
+
+                if datasource and datasource.updated_at:
+                    process_log.add_metadata(
+                        hyper_last_mod=datasource.updated_at.isoformat(),
+                    )
+
+                # if datasource exists and parquet file was not modified, skip HyperFile update
+                if (
+                    datasource is not None
+                    and pq_file_info.mtime < datasource.updated_at
+                ):
+                    process_log.add_metadata(update_hyper_file=False)
+                    process_log.log_complete()
+                    break
+
+                hyper_row_count = self.create_local_hyper()
+                hyper_file_size = os.path.getsize(self.local_hyper_path) / (
+                    1024 * 1024
+                )
+                process_log.add_metadata(
+                    hyper_row_count=hyper_row_count,
+                    hyper_file_siz_mb=f"{hyper_file_size:.2f}",
+                    update_hyper_file=True,
+                )
+
+                # Upload local HyperFile to Tableau server
+                overwrite_datasource(
+                    project_name=self.project_name,
+                    hyper_path=self.local_hyper_path,
+                )
+                os.remove(self.local_hyper_path)
+
+                process_log.log_complete()
+
+                break
+
+            except Exception as exception:
+                if retry_count == max_retries - 1:
+                    process_log.log_failure(exception=exception)
+
+    def run_parquet(self) -> None:
+        """
+        Remote parquet Create / Update runner
+
+        If Remote parquet file does not exist, or Job parquet schema does not
+        match remote parquet schema, create new remote parquet file.
+
+        Otherwise, update existing remote parquet file
+        """
+        process_log = ProcessLogger(
+            "hyper_job_run_parquet",
+            remote_path=self.remote_parquet_path,
+        )
+        process_log.log_start()
+
+        try:
+            remote_schema_match = False
+            file_info = self.remote_fs.get_file_info(self.remote_parquet_path)
+
+            if file_info.type == fs.FileType.File:
+                # get remote parquet schema and compare to expected local schema
+                remote_schema = pq.read_schema(
+                    self.remote_parquet_path,
+                    filesystem=self.remote_fs,
+                )
+                remote_schema_match = self.parquet_schema.equals(remote_schema)
+
+            if remote_schema_match is False:
+                # create new parquet if no remote parquet found or
+                # remote schema does not match expected local schema
+                run_action = "create"
+                upload_parquet = True
+                self.create_parquet()
+            else:
+                run_action = "update"
+                upload_parquet = self.update_parquet()
+
+            parquet_file_size_mb = os.path.getsize(self.local_parquet_path) / (
+                1024 * 1024
+            )
+
+            process_log.add_metadata(
+                remote_schema_match=remote_schema_match,
+                run_action=run_action,
+                upload_parquet=upload_parquet,
+                parquet_file_size_mb=f"{parquet_file_size_mb:.2f}",
+            )
+
+            if upload_parquet:
+                upload_file(
+                    file_name=self.local_parquet_path,
+                    object_path=self.remote_parquet_path,
+                )
+
+            os.remove(self.local_parquet_path)
+
+            process_log.log_complete()
+
+        except Exception as exception:
+            process_log.log_failure(exception=exception)
diff --git a/python_src/src/lamp_py/tableau/jobs/gtfs_rail.py b/python_src/src/lamp_py/tableau/jobs/gtfs_rail.py
new file mode 100644
index 00000000..9af2c382
--- /dev/null
+++ b/python_src/src/lamp_py/tableau/jobs/gtfs_rail.py
@@ -0,0 +1,413 @@
+import os
+
+import pyarrow
+import pyarrow.parquet as pq
+import sqlalchemy as sa
+
+from lamp_py.tableau.hyper import HyperJob
+from lamp_py.aws.s3 import download_file
+
+
+class HyperGTFS(HyperJob):
+    """
+    Base Class for GTFS Hyper Jobs
+
+    :param gtfs_table_name: name of GTFS database table
+    :param table_query: multi-line SQL query with %s placeholder for static_version_key WHERE clause
+    """
+
+    def __init__(
+        self,
+        gtfs_table_name: str,
+        table_query: str,
+    ) -> None:
+        HyperJob.__init__(
+            self,
+            hyper_file_name=f"LAMP_{gtfs_table_name}.hyper",
+            remote_parquet_path=f"s3://{os.getenv('PUBLIC_ARCHIVE_BUCKET')}/lamp/tableau/rail/LAMP_{gtfs_table_name}.parquet",
+        )
+        self.gtfs_table_name = gtfs_table_name
+        self.create_query = table_query % ""
+        self.update_query = table_query
+
+    @property
+    def parquet_schema(self) -> pyarrow.schema:
+        """Define GTFS Table Schema"""
+
+    def create_parquet(self) -> None:
+        if os.path.exists(self.local_parquet_path):
+            os.remove(self.local_parquet_path)
+
+        pq.write_table(
+            pyarrow.Table.from_pylist(
+                mapping=self.db_manager.select_as_list(
+                    sa.text(self.create_query)
+                ),
+                schema=self.parquet_schema,
+            ),
+            self.local_parquet_path,
+        )
+
+    def update_parquet(self) -> bool:
+        download_file(
+            object_path=self.remote_parquet_path,
+            file_name=self.local_parquet_path,
+        )
+
+        max_stats = self.max_stats_of_parquet()
+
+        max_parquet_key = max_stats["static_version_key"]
+
+        max_key_query = (
+            f"SELECT MAX(static_version_key) FROM {self.gtfs_table_name};"
+        )
+
+        max_db_key = self.db_manager.select_as_list(sa.text(max_key_query))[0][
+            "max"
+        ]
+
+        # no update needed
+        if max_db_key <= max_parquet_key:
+            return False
+
+        # add WHERE clause to UPDATE query
+        update_query = self.update_query % (
+            f" WHERE static_version_key > {max_parquet_key} ",
+        )
+
+        pq.write_table(
+            pyarrow.concat_tables(
+                [
+                    pq.read_table(self.local_parquet_path),
+                    pyarrow.Table.from_pylist(
+                        mapping=self.db_manager.select_as_list(
+                            sa.text(update_query)
+                        ),
+                        schema=self.parquet_schema,
+                    ),
+                ]
+            ),
+            self.local_parquet_path,
+        )
+
+        return True
+
+
+class HyperServiceIdByRoute(HyperGTFS):
+    """Hyper Job for service_id_by_date_and_route VIEW"""
+
+    def __init__(self) -> None:
+        HyperGTFS.__init__(
+            self,
+            gtfs_table_name="service_id_by_date_and_route",
+            table_query=(
+                "SELECT "
+                "   route_id"
+                "   ,service_id"
+                "   ,service_date"
+                "   ,date(service_date::text) as service_date_calc"
+                "   ,static_version_key "
+                "FROM service_id_by_date_and_route "
+                "%s"
+                "ORDER BY static_version_key, service_id, service_date"
+            ),
+        )
+
+    @property
+    def parquet_schema(self) -> pyarrow.schema:
+        return pyarrow.schema(
+            [
+                ("route_id", pyarrow.string()),
+                ("service_id", pyarrow.string()),
+                ("service_date", pyarrow.int64()),
+                ("service_date_calc", pyarrow.date32()),
+                ("static_version_key", pyarrow.int64()),
+            ]
+        )
+
+
+class HyperStaticTrips(HyperGTFS):
+    """Hyper Job for static_trips table"""
+
+    def __init__(self) -> None:
+        HyperGTFS.__init__(
+            self,
+            gtfs_table_name="static_trips",
+            table_query=(
+                "SELECT "
+                "   pk_id"
+                "   ,route_id"
+                "   ,branch_route_id"
+                "   ,trunk_route_id "
+                "   ,service_id"
+                "   ,trip_id"
+                "   ,direction_id::int"
+                "   ,block_id"
+                "   ,static_version_key "
+                "FROM static_trips "
+                "%s"
+                "ORDER BY static_version_key, direction_id, route_id, service_id;"
+            ),
+        )
+
+    @property
+    def parquet_schema(self) -> pyarrow.schema:
+        return pyarrow.schema(
+            [
+                ("pk_id", pyarrow.int64()),
+                ("route_id", pyarrow.string()),
+                ("branch_route_id", pyarrow.string()),
+                ("trunk_route_id", pyarrow.string()),
+                ("service_id", pyarrow.string()),
+                ("trip_id", pyarrow.string()),
+                ("direction_id", pyarrow.int8()),
+                ("block_id", pyarrow.string()),
+                ("static_version_key", pyarrow.int64()),
+            ]
+        )
+
+
+class HyperStaticStops(HyperGTFS):
+    """Hyper Job for static_stops table"""
+
+    def __init__(self) -> None:
+        HyperGTFS.__init__(
+            self,
+            gtfs_table_name="static_stops",
+            table_query=(
+                "SELECT "
+                "   pk_id"
+                "   ,stop_id"
+                "   ,stop_name"
+                "   ,stop_desc "
+                "   ,platform_code"
+                "   ,platform_name"
+                "   ,parent_station"
+                "   ,static_version_key "
+                "FROM static_stops "
+                "%s"
+                "ORDER BY static_version_key, parent_station;"
+            ),
+        )
+
+    @property
+    def parquet_schema(self) -> pyarrow.schema:
+        return pyarrow.schema(
+            [
+                ("pk_id", pyarrow.int64()),
+                ("stop_id", pyarrow.string()),
+                ("stop_name", pyarrow.string()),
+                ("stop_desc", pyarrow.string()),
+                ("platform_code", pyarrow.string()),
+                ("platform_name", pyarrow.string()),
+                ("parent_station", pyarrow.string()),
+                ("static_version_key", pyarrow.int64()),
+            ]
+        )
+
+
+class HyperStaticCalendar(HyperGTFS):
+    """Hyper Job for static_calendar table"""
+
+    def __init__(self) -> None:
+        HyperGTFS.__init__(
+            self,
+            gtfs_table_name="static_calendar",
+            table_query=(
+                "SELECT "
+                "   pk_id"
+                "   ,service_id"
+                "   ,monday"
+                "   ,tuesday"
+                "   ,wednesday"
+                "   ,thursday"
+                "   ,friday"
+                "   ,saturday"
+                "   ,sunday"
+                "   ,date(start_date::text) as start_date"
+                "   ,date(end_date::text) as end_date"
+                "   ,static_version_key "
+                "FROM static_calendar "
+                "%s"
+                "ORDER BY static_version_key, start_date, end_date;"
+            ),
+        )
+
+    @property
+    def parquet_schema(self) -> pyarrow.schema:
+        return pyarrow.schema(
+            [
+                ("pk_id", pyarrow.int64()),
+                ("service_id", pyarrow.string()),
+                ("monday", pyarrow.bool_()),
+                ("tuesday", pyarrow.bool_()),
+                ("wednesday", pyarrow.bool_()),
+                ("thursday", pyarrow.bool_()),
+                ("friday", pyarrow.bool_()),
+                ("saturday", pyarrow.bool_()),
+                ("sunday", pyarrow.bool_()),
+                ("start_date", pyarrow.date32()),
+                ("end_date", pyarrow.date32()),
+                ("static_version_key", pyarrow.int64()),
+            ]
+        )
+
+
+class HyperStaticCalendarDates(HyperGTFS):
+    """Hyper Job for static_calendar_dates table"""
+
+    def __init__(self) -> None:
+        HyperGTFS.__init__(
+            self,
+            gtfs_table_name="static_calendar_dates",
+            table_query=(
+                "SELECT "
+                "   pk_id"
+                "   ,service_id"
+                "   ,date"
+                "   ,date(date::text) as calendar_date"
+                "   ,exception_type"
+                "   ,holiday_name"
+                "   ,static_version_key "
+                "FROM static_calendar_dates "
+                "%s"
+                "ORDER BY static_version_key, service_id, date;"
+            ),
+        )
+
+    @property
+    def parquet_schema(self) -> pyarrow.schema:
+        return pyarrow.schema(
+            [
+                ("pk_id", pyarrow.int64()),
+                ("service_id", pyarrow.string()),
+                ("date", pyarrow.int64()),
+                ("calendar_date", pyarrow.date32()),
+                ("exception_type", pyarrow.int8()),
+                ("holiday_name", pyarrow.string()),
+                ("static_version_key", pyarrow.int64()),
+            ]
+        )
+
+
+class HyperStaticRoutes(HyperGTFS):
+    """Hyper Job for static_routes table"""
+
+    def __init__(self) -> None:
+        HyperGTFS.__init__(
+            self,
+            gtfs_table_name="static_routes",
+            table_query=(
+                "SELECT "
+                "   pk_id"
+                "   ,route_id"
+                "   ,agency_id"
+                "   ,route_short_name"
+                "   ,route_long_name"
+                "   ,route_desc"
+                "   ,route_type"
+                "   ,route_sort_order"
+                "   ,route_fare_class"
+                "   ,line_id"
+                "   ,static_version_key "
+                "FROM static_routes "
+                "%s"
+                "ORDER BY static_version_key, route_id, route_type;"
+            ),
+        )
+
+    @property
+    def parquet_schema(self) -> pyarrow.schema:
+        return pyarrow.schema(
+            [
+                ("pk_id", pyarrow.int64()),
+                ("route_id", pyarrow.string()),
+                ("agency_id", pyarrow.int8()),
+                ("route_short_name", pyarrow.string()),
+                ("route_long_name", pyarrow.string()),
+                ("route_desc", pyarrow.string()),
+                ("route_type", pyarrow.int8()),
+                ("route_sort_order", pyarrow.int32()),
+                ("route_fare_class", pyarrow.string()),
+                ("line_id", pyarrow.string()),
+                ("static_version_key", pyarrow.int64()),
+            ]
+        )
+
+
+class HyperStaticFeedInfo(HyperGTFS):
+    """Hyper Job for static_feed_info table"""
+
+    def __init__(self) -> None:
+        HyperGTFS.__init__(
+            self,
+            gtfs_table_name="static_feed_info",
+            table_query=(
+                "SELECT "
+                "   pk_id"
+                "   ,date(feed_start_date::text) as feed_start_date"
+                "   ,date(feed_end_date::text) as feed_end_date"
+                "   ,feed_version"
+                "   ,date(feed_active_date::text) as feed_active_date"
+                "   ,static_version_key "
+                "FROM static_feed_info "
+                "%s"
+                ";"
+            ),
+        )
+
+    @property
+    def parquet_schema(self) -> pyarrow.schema:
+        return pyarrow.schema(
+            [
+                ("pk_id", pyarrow.int64()),
+                ("feed_start_date", pyarrow.date32()),
+                ("feed_end_date", pyarrow.date32()),
+                ("feed_version", pyarrow.string()),
+                ("feed_active_date", pyarrow.date32()),
+                ("static_version_key", pyarrow.int64()),
+            ]
+        )
+
+
+class HyperStaticStopTimes(HyperGTFS):
+    """Hyper Job for static_stop_times table"""
+
+    def __init__(self) -> None:
+        HyperGTFS.__init__(
+            self,
+            gtfs_table_name="static_stop_times",
+            table_query=(
+                "SELECT "
+                "   pk_id"
+                "   ,trip_id"
+                "   ,arrival_time"
+                "   ,departure_time"
+                "   ,schedule_travel_time_seconds"
+                "   ,schedule_headway_trunk_seconds"
+                "   ,schedule_headway_branch_seconds"
+                "   ,stop_id"
+                "   ,stop_sequence"
+                "   ,static_version_key "
+                "FROM static_stop_times "
+                "%s"
+                "ORDER BY static_version_key, trip_id;"
+            ),
+        )
+
+    @property
+    def parquet_schema(self) -> pyarrow.schema:
+        return pyarrow.schema(
+            [
+                ("pk_id", pyarrow.int64()),
+                ("trip_id", pyarrow.string()),
+                ("arrival_time", pyarrow.int32()),
+                ("departure_time", pyarrow.int32()),
+                ("schedule_travel_time_seconds", pyarrow.int32()),
+                ("schedule_headway_trunk_seconds", pyarrow.int32()),
+                ("schedule_headway_branch_seconds", pyarrow.int32()),
+                ("stop_id", pyarrow.string()),
+                ("stop_sequence", pyarrow.int16()),
+                ("static_version_key", pyarrow.int64()),
+            ]
+        )
diff --git a/python_src/src/lamp_py/tableau/jobs/rt_rail.py b/python_src/src/lamp_py/tableau/jobs/rt_rail.py
new file mode 100644
index 00000000..38580e96
--- /dev/null
+++ b/python_src/src/lamp_py/tableau/jobs/rt_rail.py
@@ -0,0 +1,183 @@
+import os
+
+import pyarrow
+import pyarrow.parquet as pq
+import sqlalchemy as sa
+
+from lamp_py.tableau.hyper import HyperJob
+from lamp_py.aws.s3 import download_file
+
+
+class HyperRtRail(HyperJob):
+    """HyperJob for LAMP RT Rail data"""
+
+    def __init__(self) -> None:
+        HyperJob.__init__(
+            self,
+            hyper_file_name="LAMP_ALL_RT_fields.hyper",
+            remote_parquet_path=f"s3://{os.getenv('PUBLIC_ARCHIVE_BUCKET')}/lamp/tableau/rail/LAMP_ALL_RT_fields.parquet",
+        )
+        self.table_query = (
+            "SELECT"
+            "   date(vt.service_date::text) as service_date"
+            "   , TIMEZONE('UTC', TO_TIMESTAMP(extract(epoch FROM date(vt.service_date::text)) + vt.start_time)) as start_datetime"
+            "   , TIMEZONE('UTC', TO_TIMESTAMP(extract(epoch FROM date(vt.service_date::text)) +  vt.static_start_time)) as static_start_datetime"
+            "   , ve.pm_trip_id"
+            "   , ve.stop_sequence"
+            "   , ve.canonical_stop_sequence"
+            "   , prev_ve.canonical_stop_sequence as previous_canonical_stop_sequence"
+            "   , ve.sync_stop_sequence"
+            "   , prev_ve.sync_stop_sequence as previous_sync_stop_sequence"
+            "   , ve.stop_id"
+            "   , prev_ve.stop_id as previous_stop_id"
+            "   , ve.parent_station"
+            "   , prev_ve.parent_station as previous_parent_station"
+            # "   , ve.vp_move_timestamp as previous_stop_departure_timestamp"
+            "   , TIMEZONE('America/New_York', TO_TIMESTAMP(ve.vp_move_timestamp)) as previous_stop_departure_datetime"
+            # "   , COALESCE(ve.vp_stop_timestamp,  ve.tu_stop_timestamp) as stop_arrival_timestamp"
+            "   , TIMEZONE('America/New_York', TO_TIMESTAMP(COALESCE(ve.vp_stop_timestamp,  ve.tu_stop_timestamp))) as stop_arrival_datetime"
+            # "   , COALESCE(ve.vp_stop_timestamp,  ve.tu_stop_timestamp) + ve.dwell_time_seconds as stop_departure_timestamp"
+            "   , TIMEZONE('America/New_York', TO_TIMESTAMP(COALESCE(ve.vp_stop_timestamp,  ve.tu_stop_timestamp) + ve.dwell_time_seconds)) as stop_departure_datetime"
+            "   , (ve.vp_move_timestamp - extract(epoch FROM date(vt.service_date::text)))::int as previous_stop_departure_sec"
+            "   , (ve.vp_move_timestamp - extract(epoch FROM date(vt.service_date::text)) + ve.travel_time_seconds)::int as stop_arrival_sec"
+            "   , vt.direction_id::int"
+            "   , vt.route_id"
+            "   , vt.branch_route_id"
+            "   , vt.trunk_route_id"
+            "   , vt.start_time"
+            "   , vt.vehicle_id"
+            "   , vt.stop_count"
+            "   , vt.trip_id"
+            "   , vt.vehicle_label"
+            "   , vt.vehicle_consist"
+            "   , vt.direction"
+            "   , vt.direction_destination"
+            "   , vt.static_trip_id_guess"
+            "   , vt.static_start_time"
+            "   , vt.static_stop_count"
+            "   , vt.first_last_station_match"
+            "   , vt.static_version_key"
+            "   , ve.travel_time_seconds"
+            "   , ve.dwell_time_seconds"
+            "   , ve.headway_trunk_seconds"
+            "   , ve.headway_branch_seconds"
+            "   , ve.updated_on "
+            "FROM "
+            "   vehicle_events ve "
+            "LEFT JOIN "
+            "   vehicle_trips vt "
+            "ON "
+            "   ve.pm_trip_id = vt.pm_trip_id "
+            "LEFT JOIN "
+            "   vehicle_events prev_ve "
+            "ON "
+            "   ve.pm_event_id = prev_ve.next_trip_stop_pm_event_id "
+            "WHERE "
+            "   ve.previous_trip_stop_pm_event_id is not NULL "
+            "   AND ( "
+            "       ve.vp_stop_timestamp IS NOT null "
+            "       OR ve.vp_move_timestamp IS NOT null "
+            "   ) "
+            "   %s"
+            "ORDER BY "
+            "   ve.service_date, vt.route_id, vt.direction_id, vt.vehicle_id"
+            ";"
+        )
+
+    @property
+    def parquet_schema(self) -> pyarrow.schema:
+        return pyarrow.schema(
+            [
+                ("service_date", pyarrow.date32()),
+                ("start_datetime", pyarrow.timestamp("us")),
+                ("static_start_datetime", pyarrow.timestamp("us")),
+                ("pm_trip_id", pyarrow.int64()),
+                ("stop_sequence", pyarrow.int16()),
+                ("canonical_stop_sequence", pyarrow.int16()),
+                ("previous_canonical_stop_sequence", pyarrow.int16()),
+                ("sync_stop_sequence", pyarrow.int16()),
+                ("previous_sync_stop_sequence", pyarrow.int16()),
+                ("stop_id", pyarrow.string()),
+                ("previous_stop_id", pyarrow.string()),
+                ("parent_station", pyarrow.string()),
+                ("previous_parent_station", pyarrow.string()),
+                # ("previous_stop_departure_timestamp", pyarrow.int64()),
+                ("previous_stop_departure_datetime", pyarrow.timestamp("us")),
+                # ("stop_arrival_timestamp", pyarrow.int64()),
+                ("stop_arrival_datetime", pyarrow.timestamp("us")),
+                # ("stop_departure_timestamp", pyarrow.int64()),
+                ("stop_departure_datetime", pyarrow.timestamp("us")),
+                ("previous_stop_departure_sec", pyarrow.int64()),
+                ("stop_arrival_sec", pyarrow.int64()),
+                ("direction_id", pyarrow.int8()),
+                ("route_id", pyarrow.string()),
+                ("branch_route_id", pyarrow.string()),
+                ("trunk_route_id", pyarrow.string()),
+                ("start_time", pyarrow.int64()),
+                ("vehicle_id", pyarrow.string()),
+                ("stop_count", pyarrow.int16()),
+                ("trip_id", pyarrow.string()),
+                ("vehicle_label", pyarrow.string()),
+                ("vehicle_consist", pyarrow.string()),
+                ("direction", pyarrow.string()),
+                ("direction_destination", pyarrow.string()),
+                ("static_trip_id_guess", pyarrow.string()),
+                ("static_start_time", pyarrow.int64()),
+                ("static_stop_count", pyarrow.int64()),
+                ("first_last_station_match", pyarrow.bool_()),
+                ("static_version_key", pyarrow.int64()),
+                ("travel_time_seconds", pyarrow.int16()),
+                ("dwell_time_seconds", pyarrow.int16()),
+                ("headway_trunk_seconds", pyarrow.int16()),
+                ("headway_branch_seconds", pyarrow.int16()),
+                ("updated_on", pyarrow.timestamp("us")),
+            ]
+        )
+
+    def create_parquet(self) -> None:
+        create_query = self.table_query % ""
+
+        if os.path.exists(self.local_parquet_path):
+            os.remove(self.local_parquet_path)
+
+        pq.write_table(
+            pyarrow.Table.from_pylist(
+                mapping=self.db_manager.select_as_list(sa.text(create_query)),
+                schema=self.parquet_schema,
+            ),
+            self.local_parquet_path,
+        )
+
+    def update_parquet(self) -> bool:
+        download_file(
+            object_path=self.remote_parquet_path,
+            file_name=self.local_parquet_path,
+        )
+
+        max_stats = self.max_stats_of_parquet()
+
+        max_start_date = max_stats["service_date"]
+
+        update_query = self.table_query % (
+            f" AND vt.service_date >= {max_start_date} ",
+        )
+
+        pq.write_table(
+            pyarrow.concat_tables(
+                [
+                    pq.read_table(
+                        self.local_parquet_path,
+                        filters=[("service_date", "<", max_start_date)],
+                    ),
+                    pyarrow.Table.from_pylist(
+                        mapping=self.db_manager.select_as_list(
+                            sa.text(update_query)
+                        ),
+                        schema=self.parquet_schema,
+                    ),
+                ]
+            ),
+            self.local_parquet_path,
+        )
+
+        return True
diff --git a/python_src/src/lamp_py/tableau/pipeline.py b/python_src/src/lamp_py/tableau/pipeline.py
new file mode 100644
index 00000000..000401a5
--- /dev/null
+++ b/python_src/src/lamp_py/tableau/pipeline.py
@@ -0,0 +1,50 @@
+import os
+
+from lamp_py.runtime_utils.env_validation import validate_environment
+
+from lamp_py.tableau.jobs.rt_rail import HyperRtRail
+from lamp_py.tableau.jobs.gtfs_rail import (
+    HyperServiceIdByRoute,
+    HyperStaticCalendar,
+    HyperStaticCalendarDates,
+    HyperStaticFeedInfo,
+    HyperStaticRoutes,
+    HyperStaticStops,
+    HyperStaticStopTimes,
+    HyperStaticTrips,
+)
+
+HYPER_JOBS = (
+    HyperRtRail(),
+    HyperServiceIdByRoute(),
+    HyperStaticCalendar(),
+    HyperStaticCalendarDates(),
+    HyperStaticFeedInfo(),
+    HyperStaticRoutes(),
+    HyperStaticStops(),
+    HyperStaticStopTimes(),
+    HyperStaticTrips(),
+)
+
+
+def start_hyper_updates() -> None:
+    """Run all HyperFile Update Jobs"""
+    # configure the environment
+    os.environ["SERVICE_NAME"] = "tableau_hyper_update"
+    validate_environment(
+        required_variables=[
+            "TABLEAU_USER",
+            "TABLEAU_PASSWORD",
+            "TABLEAU_SERVER",
+            "PUBLIC_ARCHIVE_BUCKET",
+        ],
+    )
+
+    for job in HYPER_JOBS:
+        job.run_hyper()
+
+
+def start_parquet_updates() -> None:
+    """Run all Parquet Update jobs"""
+    for job in HYPER_JOBS:
+        job.run_parquet()
diff --git a/python_src/src/lamp_py/tableau/server.py b/python_src/src/lamp_py/tableau/server.py
new file mode 100644
index 00000000..719f66dd
--- /dev/null
+++ b/python_src/src/lamp_py/tableau/server.py
@@ -0,0 +1,128 @@
+import os
+from typing import (
+    List,
+    Optional,
+)
+
+import tableauserverclient as TSC
+
+
+def tableau_server(
+    url: Optional[str] = os.getenv("TABLEAU_SERVER"),
+) -> TSC.server.server.Server:
+    """
+    Get Tableau Server object
+
+    :param url: URL of server, defaults to TABLEAU_SERVER env var
+
+    :return TSC.Server object
+    """
+    return TSC.Server(server_address=url)
+
+
+def tableau_authentication(
+    tableau_user: Optional[str] = os.getenv("TABLEAU_USER"),
+    tableau_password: Optional[str] = os.getenv("TABLEAU_PASSWORD"),
+    tableau_site: str = "",  # empty string corresponds to Default site
+) -> TSC.models.tableau_auth.TableauAuth:
+    """
+    Get Tableau Authentication object
+
+    :param tablea_user: User to authenticate as, defaults to TABLEAU_USER env var
+    :param tablea_password: Password to authenticate with, defaults to TABLEAU_PASSWORD evn var
+    :param tablea_sute: Site to authenticate to, will default to 'Default' site
+
+    :return TSC.TableaAuth  objects
+    """
+    return TSC.TableauAuth(
+        username=tableau_user,
+        password=tableau_password,
+        site_id=tableau_site,
+    )
+
+
+def project_list(
+    server: TSC.server.server.Server = tableau_server(),
+    auth: TSC.models.tableau_auth.TableauAuth = tableau_authentication(),
+) -> List[TSC.models.project_item.ProjectItem]:
+    """
+    Get List of all projects from Tablea server
+
+    :param server: Tableau server to retrieve projects from
+    :param auth:  Tableau authentication to use with server
+
+    :return List[ProjectItem]
+    """
+    with server.auth.sign_in(auth):
+        return list(TSC.Pager(server.projects))
+
+
+def datasource_list(
+    server: TSC.server.server.Server = tableau_server(),
+    auth: TSC.models.tableau_auth.TableauAuth = tableau_authentication(),
+) -> List[TSC.models.datasource_item.DatasourceItem]:
+    """
+    Get List of all datasources from Tablea server
+
+    :param server: Tableau server to retrieve projects from
+    :param auth:  Tableau authentication to use with server
+
+    :return List[DatasourceItem]
+    """
+    with server.auth.sign_in(auth):
+        return list(TSC.Pager(server.datasources))
+
+
+def project_from_name(
+    project_name: str,
+    server: TSC.server.server.Server = tableau_server(),
+    auth: TSC.models.tableau_auth.TableauAuth = tableau_authentication(),
+) -> Optional[TSC.models.project_item.ProjectItem]:
+    """
+    Get Tableau ProjectItem from name
+    """
+    for project in project_list(server, auth):
+        if project.name == project_name:
+            return project
+
+    return None
+
+
+def datasource_from_name(
+    datasource_name: str,
+    server: TSC.server.server.Server = tableau_server(),
+    auth: TSC.models.tableau_auth.TableauAuth = tableau_authentication(),
+) -> Optional[TSC.models.datasource_item.DatasourceItem]:
+    """
+    Get Tableau DatasourceItem from name
+    """
+    for datasource in datasource_list(server, auth):
+        if datasource.name == datasource_name:
+            return datasource
+
+    return None
+
+
+def overwrite_datasource(
+    project_name: str,
+    hyper_path: str,
+    server: TSC.server.server.Server = tableau_server(),
+    auth: TSC.models.tableau_auth.TableauAuth = tableau_authentication(),
+) -> TSC.models.datasource_item.DatasourceItem:
+    """
+    Publish locally saved hyperfile to Tableau
+    """
+    publish_mode = TSC.Server.PublishMode.Overwrite
+
+    project = project_from_name(project_name)
+    if project is None:
+        raise KeyError(f"{project_name} project not found on Tableau server.")
+
+    datasource = TSC.DatasourceItem(project_id=project.id)
+
+    with server.auth.sign_in(auth):
+        return server.datasources.publish(
+            datasource_item=datasource,
+            file=hyper_path,
+            mode=publish_mode,
+        )