Summary
Kennedy Behrman is a Senior Data Engineer in the San Francisco Bay Area with nine years of hands-on experience building cloud-native data platforms and AI-ready pipelines for startups and enterprises. He combines deep expertise in AWS, data engineering, and data science with practical leadership—having served as CTO/VP Engineering and founded a cloud consulting firm—so he can move projects from prototype to production and scale. A published author and technical editor on Python for data science and DevOps topics, he translates complex concepts into teachable, production-focused guidance. At Envestnet he drives robust data architectures while his prior roles show a knack for cost-optimization and operational stability through containers and automation. He also helped shape AWS machine learning certification content and co-created instructional video courses, reflecting a rare mix of product, pedagogy, and platform experience.
9 years of coding experience
20 years of employment as a software developer
Bachelors, Fine Arts, Bachelors, Fine Arts at University of Pennsylvania