Staff Data Engineer

I am a staff-level data engineer with 10+ years of experience building regulated data platforms in healthcare and financial services.

I specialize in end-to-end data systems, including ingestion, lakehouse pipelines, feature stores, retrieval-augmented generation, LLM-serving infrastructure, and governance.

My work has supported large-scale environments with strict quality, compliance, and auditability requirements, where data accuracy directly affects business outcomes and patient safety.

I have led platform efforts across Spark, Airflow, Snowflake, Databricks, BigQuery, Kafka, AWS, and GCP, and I enjoy designing systems that are reliable, scalable, and measurable.

I also have hands-on experience building AI infrastructure, including governed retrieval, vector search, redaction, validation, and production inference services.

I value collaboration with data science, product, compliance, and analytics teams to turn certified data into reusable products and faster decision-making.