Leads data architecture, data warehouse design, ETL development, and scalable analytics solutions using cloud and modern data technologies. Develops Python, SQL, and JavaScript code; optimizes distributed systems and CI/CD pipelines; troubleshoots production systems; evaluates emerging technologies and AI tooling; collaborates with technical and business stakeholders; and mentors junior engineers.

Designs and operates scalable batch and streaming data pipelines and AI-ready data products across Databricks, Snowflake, Kubernetes, and cloud services. Develops governed data assets, semantic models, search and retrieval capabilities, and data quality processes. Supports Snowflake Cortex and Databricks initiatives, production troubleshooting, orchestration, performance optimization, CI/CD, and observability. Partners with business and technical teams on roadmaps and adoption, evaluates AI-assisted engineering tools, mentors engineers, and establishes reusable platform patterns.