At MetLife, I build batch and streaming data pipelines for 10+ TB of daily insurance telemetry and policy data, reducing data availability latency by 45%.
I led legacy data-mart migration to Snowflake on AWS, improving actuarial and financial query performance by 60% while reducing large-scale Spark processing costs by 35%.
I also build Databricks, Delta Lake, dbt, Airflow, and RAG ingestion workflows that produce governed analytics datasets and support internal knowledge assistants through Amazon Bedrock.
Previously at Athenahealth and Vertafore, I delivered healthcare and insurance ETL/ELT platforms, real-time streaming workflows, data quality checks, and secure reporting datasets. I focus on reliable, cost-effective data systems that make reporting, machine learning, and generative AI initiatives possible.
