Develop, deploy, and improve distributed big-data pipelines for data ingestion, fusion, machine learning, and network analysis. Lead end-to-end data engineering solutions, improve scalability and reliability, support security and compliance reviews, and serve as a technical expert in customer engagements. Collaborate with engineering, data science, product, and public-sector stakeholders while evaluating tools and mentoring teams.

Design, build, deploy, and optimize distributed big-data ingestion, standardization, and ML pipelines at scale. Support platform reliability, cost controls, security accreditations, and customer integrations. Serve as technical lead in client meetings, mentor engineers, and recommend tools and best practices for data pipeline development and deployment.