Projects

Modernized an end-to-end analytics platform by migrating legacy SQL Server workloads to Azure. Moved storage to a multi-layer Data Lake on ADLS with file-level partitioning, refactored monolithic stored procedures into Airflow-orchestrated Python/PySpark pipelines, and enabled self-serve, ad-hoc analytics through Synapse SQL Pools.

Designed the backend data architecture for a cloud-native e-commerce analytics platform — BigQuery for analytical workloads and MongoDB for low-latency operational data. Built FastAPI services to expose analytics to the web app, with a clean separation between analytical and transactional layers.

Built a data quality and sanitation framework on Azure Databricks within Synapse to validate, clean, and standardize high-volume datasets before they reach business-critical dashboards — improving reliability and trust in downstream analytics.