dbt Labs
Daniel Horner is a seasoned technical instructor and educator with extensive experience in computer science and programming. Currently serving as a Senior Technical Instructor at dbt Labs since June 2022, Daniel previously held positions such as Assistant Professor and Department Chair of Information Systems at Johnson County Community College and Adjunct Professor at multiple institutions including Los Angeles Pacific University and Azusa Pacific University. Daniel's educational background includes a Master of Science in Computer Science from Azusa Pacific University and a Bachelor of Science in Technical Science from West Coast University. Additionally, Daniel has a rich history in the industry, including roles at UPS as Technical Training Manager, where responsibilities involved developing and facilitating technical training programs and consulting to enhance operational efficiencies for businesses.
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dbt Labs
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Since 2016, dbt Labs has been on a mission to help data practitioners create and disseminate organizational knowledge. dbt is the standard for AI-ready structured data. Powered by the dbt Fusion engine, it unlocks the performance, context, and trust that organizations need to scale analytics in the era of AI. Globally, more than 60,000 data teams use dbt, including those at Siemens, Roche and Condé Nast.