At Providence, I design Snowflake pipelines that centralize patient records and support clinical operations across multiple clinics.
I build automated ETL processes with Python and Apache Airflow for daily laboratory results, and use Apache Spark to analyze population health trends.
I’ve implemented secure data ingestion with AWS S3 and Glue, and used Great Expectations to validate vaccination records.
Previously at Calpine, I developed data models and processing pipelines for generation metrics, sensor data, and market pricing. I also built Delta Lake tables in Databricks to support predictive maintenance models.
