Build and maintain scalable Python-based data pipelines and cloud-native solutions supporting U.S. Army financial-system modernization. Develop ETL/ELT workflows using AWS Glue, Lambda, S3, and CloudWatch; integrate APIs and diverse file formats; improve data reliability, performance, security, and governance; implement testing and monitoring; and collaborate with engineers and stakeholders in an Agile environment.

Lead design and delivery of scalable production data pipelines and data products (Spark/Python/SQL) on Databricks; integrate diverse federal health systems, define reusable ingestion patterns, ensure data quality/governance, mentor engineers, and troubleshoot/optimize production workflows.

Design, build, and maintain scalable production data pipelines and APIs in a Databricks/Spark environment. Integrate and transform diverse health, financial, and operational datasets into reusable data products, implement data validation and governance, optimize pipeline performance, and collaborate with engineers, architects, and stakeholders to deliver reliable analytics datasets and platform capabilities.