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AzureDataEngine is a robust, scalable batch processing data architecture built on the Azure platform. It efficiently extracts, transforms, and loads massive datasets for machine learning applications, leveraging Azure Blob Storage, PostgreSQL, Databricks, and Key Vault to ensure reliability and maintainability.
Python script that uploads, lists, and downloads CSV files using Azure Blob Storage. Includes screenshots of Azure setup and a small end‑to‑end data pipeline.
Web application for mobile and desktop to quickly post videos for your team. Demonstrates Starlette, and Azure Media Services Video Indexer. Lets people record themselves on the fly, to stay in sync with their teams, wherever they may be.
A comprehensive data engineering solution that transforms sales data from PostgreSQL into a star schema, moves it to Azure Synapse Analytics via Blob Storage, and creates Power BI dashboards for business insights.
"I designed analytical SQL queries on the NYC Taxi dataset. While my demo database contains ~1000 sample trips (due to local hardware limits), the queries are written in a way that scale to millions of rows in production."