Ravi Vangaveeti

At McKesson, I lead enterprise data architecture for a multi-hospital health system, unifying clinical, claims, and operational data in a HIPAA-compliant Azure lakehouse. I design Medallion Architecture solutions on Azure Databricks and Delta Lake, with real-time HL7/FHIR ingestion and event-driven patient-monitoring data.

I'm building an AI data platform for clinical intelligence, including LLM integration, RAG patterns, and vector database capabilities for secure semantic search of clinical documents. I also drive data mesh adoption, data governance through Unity Catalog, and enterprise data strategy with C-suite and clinical leadership.

Previously at NTT Data, I led cloud data migrations, lakehouse implementations, streaming architectures, and governance solutions for Fortune 500 healthcare, financial services, and retail clients. My work included near-real-time trade surveillance, Snowflake warehouse migrations, dbt quality frameworks achieving 99.9% accuracy for regulatory reports, and retail processing improvements of 60%.

I began at Thoughtworks building ETL pipelines, warehouses, and risk analytics data models for financial services. Across Azure, AWS, Databricks, Snowflake, Spark, and dbt, I bring 12 years of hands-on engineering and architecture experience to modern data platforms.