Data Engineer
Federal Reserve Bank of Cleveland • Ohio, USA
- Integrated 20+ financial, economic, and operational source systems into AWS S3 and Redshift using Glue, PySpark, SQL, and Airflow.
- Built batch and event-driven ingestion with Lambda, Kinesis, Kafka, and REST APIs, reducing data availability to hourly refreshes.
- Developed reusable dbt and Great Expectations frameworks for schema validation, monitoring, and data quality.
