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This repository contains a comprehensive end-to-end Azure Data Engineering solution, covering the entire data lifecycle from ingestion to reporting. The project utilizes various Azure services and tools to achieve efficient data handling, transformation, and reporting.
Além de explorar boas práticas em python, o propósito é de aplicar conceitos de Arquitetura Medallion, programação orientada a objetos e ETL, utilizando dados públicos sociais dos municípios brasileiros. Este repositório utiliza ainda DuckDB e Streamlit para exibição dos resultados
Implemented enhanced analytics for trip transactions and ride-based data from SQL Server using Medallion Architecture with Azure Data Factory and Databricks.
In this project, we setup and end to end data engineering using Apache Spark, Azure Databricks, Data Build Tool (DBT) using Azure as our cloud provider.
Developed an end-to-end real time sentiment analysis system using Delta Lake Medallion architecture, with Hugging Face Transformer Model, Spark, and MLflow integration.
Extract data from many databases of Labor, Invalids and Social Affairs sectors and convert to appropriate structure and format, then upload to shared data warehouse and data mart. Thanks to that, people of state agencies can easily retrieve and analyze data based on the compiled data warehouse.
'Talk to Your Factory' leverages Industrial IoT, Edge & Cloud Computing, and Generative AI to streamline factory operations. It allows real-time, natural language communication with factory systems, helping operators quickly identify issues, boost efficiency, and minimize downtime.
This project implements a Lakehouse Medallion Architecture using modern Data Stack tools such as Fivetran, Snowflake and dbt. The ficticious organization is an e-commerce company.