Designs, develops, supports, and optimizes scalable data pipelines and distributed processing workloads. Writes production-grade Python, PySpark, and SQL; tunes Spark and SQL performance; troubleshoots Linux and AWS infrastructure; improves monitoring, reliability, security, and cost efficiency; performs root cause analysis; and collaborates with engineering, product, architecture, and operations teams. The role also supports AI-enabled data workflows using LLMs, Amazon Bedrock, Agentic AI, and MCP.