Design, develop, maintain, and tune scalable big data processing applications using Hadoop, Spark, Python, SQL, Hive, and related technologies. Write reusable, documented code; deliver data engineering projects; collaborate with QA, Operations, and cross-functional teams; participate in Agile/Scrum ceremonies; and troubleshoot application performance and reliability.

Design, build, test, deploy, and monitor production automations that integrate Python, REST APIs, cloud data stores, and Large Language Models. Implement prompt engineering, structured output parsing, validation, and orchestration; create lightweight React/FastAPI interfaces when needed; follow agile practices, maintain shared libraries and repos, and hand off documented automations to operations teams.