Staff Consultant, Qbiz Inc.
David Sevier is a data professional with over 25 years of experience in database architecture, data modeling, and data engineering across industries including FinTech and healthcare. At Qbiz, he has designed and built large-scale data pipelines, automated semantic tagging systems, and analytics data marts supporting outcomes ranging from regulatory compliance to multi-billion-dollar IPOs. His recent work focuses on the intersection of agentic AI and data engineering, exploring how autonomous systems can reduce the manual effort involved in semantic layer management. At Airflow Summit 2026, David will share how Airflow 3 can orchestrate agentic workflows to automatically detect and apply semantic layer updates, bringing reliability and scale to a process that many teams still manage manually.
