Director, Data Engineering
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Highly analytical and process-oriented Manager of Data Engineering with extensive experience in large-scale data platforms, cloud-based architectures, AI-driven analytics, and operational excellence. Proven ability to lead high-performing global engineering teams, optimize data infrastructure for scalability, reliability, and performance, and drive innovation through automation, machine learning, and analytics. Expertise in designing and implementing modern data ecosystems (Data Lakes, Data Warehouses, and AI-driven architectures) while ensuring compliance, security, and cost optimization.
I am an accomplished data engineering and analytics leader with over a decade of experience designing and scaling cloud-based data platforms across healthcare and insurance domains. I have led global teams in building end-to-end data pipelines, implementing governance frameworks, and delivering AI-driven solutions that support predictive analytics, performance reporting, and business optimization. My expertise spans modern cloud technologies like Snowflake, Azure, AWS, and Databricks, with a strong track record of aligning data strategy with enterprise goals to drive measurable impact.
6 months certification in AI/ML from UC Berkeley
Certifications - Snowflake, Scrum Master
