Computer Engineering student (E-JUST, class of 2027) focused on data engineering — from OLTP schemas to star-schema warehouses to streaming pipelines.
Designed and built a production-style analytics warehouse from the ground up: an 8-table normalized OLTP system re-modeled into a star-schema OLAP warehouse with slowly changing dimensions, so historical changes stay queryable rather than overwritten.
Event-driven ingestion pipeline orchestrated with Airflow, using a CeleryExecutor and Redis broker for distributed task execution, fully containerized across a multi-service Docker Compose stack, with Flower for live task monitoring.
Structured, mentor-led technical training covering cloud data engineering fundamentals on Microsoft Azure — data ingestion, pipeline orchestration, and storage patterns — under guided industry mentorship.
Coursework spanning databases, parallel programming, compiler design, and computer networks — the theoretical backbone behind the systems built above.
Open to data engineering internships and fellowships. Reach out directly or find me on the platforms below.