At Insight Enterprises, I built metadata-driven ETL pipelines with Microsoft Fabric, Azure Data Factory, Azure SQL, ADLS Gen2, and PySpark. I automated ingestion, transformation, and validation workflows using Python, SQL, and Medallion Architecture.
At Quanta People, I developed Python backend applications using REST APIs, NLP, and Computer Vision. I also retrieved relevant context from a vector database to supply LLM responses.
For my personal project, I built a metadata-driven data engineering pipeline that automated ingestion for 9 source tables, covering approximately 1.28 million records. I also developed an LLM-powered interview platform at Quanta People, with FastAPI services that generated evaluation scores and structured interview reports.
