Senior Data Engineer — I build data platforms, end to end.
Currently building the data & analytics infrastructure behind an AI-powered e-commerce ads & analytics platform: a Delta Lake medallion lakehouse on Azure, event-driven ingestion at terabyte scale, and a cross-cloud serving layer (Synapse + BigQuery) powering sub-second interactive dashboards.
Core: Python · SQL (T-SQL, Spark SQL) · PySpark Platform: Azure (ADLS Gen2, Synapse, Functions, Storage Queues, Event Grid) · Microsoft Fabric · Google BigQuery Patterns: Event-driven architecture · Medallion lakehouse · Metadata-driven pipelines · Query optimization · Incremental processing Serving: FastAPI · Pre-aggregation & caching layers · Docker · Linux
A clean-room build of a production-grade event-driven lakehouse: storage-queue-triggered ingestion, Bronze→Silver→Gold Delta layers, config-driven schema provisioning, and data quality gates at every layer. This is the architecture pattern I run in production — rebuilt from scratch as a public reference.
- MBA (Strategy & Consulting), BITS Pilani — bridging data platforms and business strategy
- Building an on-device voice-driven expense tracker for Android
- Occasional business case competitions