At UnitedHealth Group, I build and operate production healthcare data pipelines, and I developed a modular dbt framework that accelerated delivery of analytical models by 45%.
I’ve improved data quality and reliability by adding schema validation, reconciliation, anomaly detection, and alerting. Integrating Great Expectations into Airflow pipelines cut silent data failures by 50%.
At Cigna Healthcare, I built Python, SQL, and PySpark pipelines for healthcare records. Event-driven Kafka and Spark Streaming pipelines reduced ingestion latency from 6 hours to under 20 minutes.
Earlier, at Reliance Retail, I developed batch and real-time data pipelines and optimized Spark transformations to reduce reporting latency from 3 hours to under 10 minutes. I also built projects including an AWS retail analytics platform and a governed data lakehouse.
