Cloud Solution Architect at Microsoft | Data, Analytics & AI
I design cloud and data platforms that turn complex information into dependable decisions. My work focuses on Microsoft Fabric, Azure, data engineering, analytics, and responsible AI.
- Production-minded data and analytics platforms on Microsoft Fabric and Azure
- Reliable deployment automation, governance, and operational runbooks
- Applied AI systems that are useful, measurable, and responsible
- Geospatial and public-sector data solutions with real-world outcomes
A Docker-based workflow that moves Plaid data into PostgreSQL for repeatable analysis in Jupyter Notebooks and Power BI.
Python PostgreSQL Docker Jupyter Power BI
Repository-based Oracle DDL tracking for repeatable database review and deployment workflows with GitHub and Azure DevOps.
Oracle PL/SQL Shell GitHub Azure DevOps
I am a Master of Management in Artificial Intelligence candidate at Smith School of Business, Queen's University. I am especially interested in the point where architecture, delivery, governance, and business value meet.
Follow along for practical notes, reusable patterns, and open-source tools for cloud data and AI.
Opinions are my own.