At JP Morgan Chase, I lead cloud-native data platform engineering on GCP for trading, payments, customer, and financial datasets, processing more than 20TB daily for risk analytics, fraud detection, AML, KYC, and regulatory reporting. I modernized legacy Hadoop and on-premises warehouses into a Lakehouse architecture, improving processing performance by 40% and reducing compute costs by 35%.
Previously at Cardinal Health and AbbVie, I built secure healthcare ETL/ELT pipelines, dimensional models, and reporting datasets across AWS Glue, EMR, Redshift, Spark, dbt, Airflow, and Databricks. My work supported Medicare, Medicaid, pharmacy, clinical, provider, and commercial analytics while maintaining HIPAA- and FHIR-compliant data handling.
I build batch, streaming, and CDC pipelines; governed data products; and AI-ready platforms using Vertex AI, Amazon Bedrock, LangChain, and RAG. I also mentor engineers, lead architecture reviews, and automate reliable cloud delivery with Terraform, Docker, Kubernetes, and CI/CD.
