At Conifer Health Solutions, I engineered Python and Airflow ingestion pipelines for 27 recurring SFTP feeds across 450+ healthcare facilities. I added scheduling, audit controls, and recoverable workflows for reliable downstream delivery.
I designed reusable Bronze, Silver, and Gold data layers in BigQuery with dbt, Cloud Run, and parameterized procedures. I also optimized partitioned tables and incremental models to reduce redundant processing.
At Metlife, I developed SQL- and Python-based ETL pipelines for insurance policy and claims data, and built dimensional models for reporting. I used Azure Data Factory, ADLS Gen2, Databricks, PySpark, and Snowflake across ingestion and transformation work.
I also built a healthcare claims platform processing 900K+ CMS SynPUF records, with dbt quality checks orchestrated through Airflow. My projects include a near-real-time financial sentiment platform using Kafka and Spark Structured Streaming.
