At GEICO, I lead cloud data platforms across AWS and Azure, processing insurance records for policy, claims, customer, billing, and risk domains. I built batch and real-time pipelines that reduced processing latency by 50%.
I developed reusable ETL/ELT frameworks that cut pipeline execution time by 45%, and standardized data contracts across business domains, improving data consistency by 40%.
I also build production data foundations for machine learning and AI, including feature engineering, MLflow workflows, and LLM/RAG pipelines for document processing, embeddings, and vector search. At Prelim, I developed lakehouse and streaming platforms and optimized warehouse models to improve query performance by up to 70%.
Earlier, at Mingle Health, I built automated pipelines and healthcare data models for reporting and analytics. I’ve worked with sensitive healthcare and insurance data using HIPAA-aware security and governance practices.
