Jay Thomas is a senior data engineer with 13 years of hands-on experience and nearly two decades in the broader data and analytics space, currently enabling advanced AI initiatives at Harvard Business School. He has moved through analytics, data science, and engineering roles at organizations from LinkedIn and Nextdoor to consulting leadership at Qbiz, combining deep analytics instincts with pragmatic cloud-first engineering—he holds AWS and GCP certifications and favors serverless architectures. Known for mentoring and building data teams, he translates research-grade analytics into reliable, production-ready data platforms that empower nontechnical stakeholders. A former web developer and creative advisor with an MFA in writing and a BA in philosophy, he brings a curious, interdisciplinary perspective and hobbies in music and game development that inform his product-minded approach.
13 years of coding experience
18 years of employment as a software developer
M.F.A. Writing, M.F.A. Writing at University of San Francisco
B.A. Philosophy, B.A. Philosophy at Northern Arizona University
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