• Design, build, and maintain robust, scalable, and secure data pipelines (ETL/ELT) using technologies like SQL and Python. • Evolve our data infrastructure and data models within our Service-Oriented Architecture (SOA). • Develop and implement automation for data governance, quality checks, and compliant data masking/anonymization processes. • Optimize data warehouse performance and query execution. • Act as the designated and highly privileged onshore resource for troubleshooting and resolving escalated production incidents. • Execute sensitive operational tasks, database migrations, configuration changes, and pipeline validations. • Enforce and document strict adherence to all internal security policies, HITRUST requirements, and client-specific data handling protocols.