Design, build, maintain, and troubleshoot Python-based data pipelines and cloud-native solutions supporting the modernization of U.S. Army financial systems and migration to AWS. Integrate and validate data from multiple sources, improve pipeline reliability and performance, and collaborate with engineering teams and stakeholders on secure, maintainable solutions.
Design, develop, and maintain scalable, production-ready data pipelines using Spark, Python, and SQL in a Databricks environment. Integrate and transform diverse health and mission datasets into reliable, reusable data products while collaborating with stakeholders to solve technical challenges.
Design, develop, and maintain scalable, production-ready data pipelines and products using Spark and Databricks. Provide technical leadership, establish engineering standards, and collaborate with stakeholders to integrate complex federal health data.
