Design and maintain scalable data models and end-to-end data marts, build and optimize ETL pipelines (dbt, Fivetran), ensure data quality and observability, collaborate with stakeholders to define KPIs, and use version control and whiteboarding tools to document and iterate on data products.

Design, implement, and optimize scalable ETL pipelines and cloud data warehouses; build POCs and MVPs; collaborate with clients to gather requirements and deliver solutions; document work and communicate technical concepts; use modern data stack tools and CI/CD practices while continuously learning.

Lead end-to-end Data & AI client engagements, own delivery and client relationships, translate technical outputs into business value, manage risks, present weekly value updates, and drive expansion opportunities while partnering with data teams.