Final Year Engineering student building pipelines that move raw data to something worth trusting — on Databricks, Spark, and Azure.
I work at the Bronze → Silver → Gold layer of data — turning messy, raw sources into clean, reliable, analytics-ready data using Medallion Architecture on Databricks. Most of my hands-on work sits inside Spark, Delta Lake, and Unity Catalog, with a growing focus on applying Databricks Mosaic AI (RAG, embeddings, LLM integration) on top of well-built data foundations.
Currently interning as an Azure Integration Intern, working hands-on with Databricks in a production setting — bridging the gap between coursework and real infrastructure.