Kennedy Behrman

Kennedy Behrman is a distinguished data engineering expert and educator who currently serves as a Senior Data Engineer at Envestnet, Inc. His extensive career spans data engineering, cloud solutions, and machine learning, backed by both undergraduate and graduate degrees from the University of Pennsylvania. As an accomplished author, he has written several influential books including "Foundational Python for Data Science" and co-authored "Python for DevOps" with O'Reilly Media. His educational impact extends through his role as an instructor for multiple prestigious courses, including the "Applied Python Data Engineering Specialization" and "Python, Bash and SQL Essentials for Data Engineering Specialization" which have reached over 21,000 students combined. Previously, he founded Pragmatic AI Labs, providing pragmatic cloud solutions for AI requirements, and held leadership positions including CTO and VP Engineering at Sqor Sports where he led engineering, product, and design teams. His technical expertise encompasses Python, data engineering, AWS solutions, and machine learning, with particular focus on developing scalable data pipelines and implementing cloud-based solutions. Behrman's influence in the field is further demonstrated through his contributions to various platforms, including the development of AWS machine learning certification tests and his role in creating comprehensive educational content for data science and engineering professionals.