Carl Schreep is a Data Engineer with over a decade of experience designing scalable, high-performance data platforms and cloud-native backends, currently based in Philadelphia. He has four years of people leadership experience and a track record of building event-driven ETL/ELT pipelines and optimizing distributed data workflows using Python and modern data engineering patterns. His recent roles span major enterprises and scale-ups—Elsevier, Walmart, and Logical Buildings—reflecting an ability to translate complex business needs into reliable production systems. Carl combines hands-on engineering with team coaching, focusing on enabling data-driven decision-making at scale. With an MA from Duke and a BA from Oberlin, he brings a thoughtful, interdisciplinary perspective to technical problems that often surfaces in pragmatic architecture choices.
10 years of coding experience
3 years of employment as a software developer
Master of Arts - MA, Master of Arts - MA at Duke University
Bachelor of Arts - BA, Bachelor of Arts - BA at Oberlin College
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