• Design, build, and maintain scalable data pipelines and architectures to support analytics, machine learning, and operational applications. • Collaborate with cross-functional teams to translate complex operational needs into reliable, well-modeled datasets. • Integrate and normalize data from multiple structured and unstructured healthcare sources (EHRs, scheduling systems, operational databases, etc.). • Optimize query performance and data processing for speed, scalability, and cost efficiency. • Implement best practices for data quality, governance, and security in compliance with healthcare regulations (e.g., HIPAA). • Support deployment, monitoring, and troubleshooting of production data systems.