Lead the implementation and operationalization of AI and LLM鈥慴ased tooling to automate data engineering workflows (e.g., code generation, data quality monitoring, schema drift detection).
Build automated frameworks for data ingestion, transformation, orchestration, and deployment using AI鈥憄owered accelerators.
Integrate AI/ML capabilities into pipelines, including anomaly detection, metadata enrichment, and pattern recognition.