Summary
Joël Vogt is a data engineer with over a decade of hands-on experience and more than 18 years in tech and academia, bridging machine learning, IoT and data-driven product engineering. He has built production ML and data pipelines at scale—migrating ETL to PySpark, designing a Keras-based grey-market detector, and architecting services that process millions of supply-chain events. At EVRYTHNG he delivered vendor-agnostic crypto-NFC integrations and local-cloud security innovations, and at Yelp he ensured revenue-critical ad delivery for millions of daily requests without disruption. Comfortable moving between research and product, he combines a PhD-level academic background with pragmatic delivery in startups and engineering teams. Based in Switzerland, Joël is known for converting complex interdisciplinary problems into robust, production-ready systems and for shaping technical roadmaps through stakeholder workshops and cross-functional leadership.
11 years of coding experience
17 years of employment as a software developer
Wirtschaftsinformatiker FH, Information Management, Wirtschaftsinformatiker FH, Information Management at Fachhochschule Nordwestschweiz
Doctor of Philosophy (PhD), Doctor of Economics and Social Sciences, Magna Cum Laude, Doctor of Philosophy (PhD), Doctor of Economics and Social Sciences, Magna Cum Laude at Université de Fribourg/Universität Freiburg
Berufsmatura, Berufsmatura at Handelsmittelschule KV Reinach, Switzerland
Doctor of Philosophy (PhD), Information Technology, Doctor of Philosophy (PhD), Information Technology at Transnationale Universiteit Limburg Diepenbeek
Swiss School Association Singapore
Wirtschaftsinformatiker HF, Information Management, Wirtschaftsinformatiker HF, Information Management at Höhere Fachschule für Wirtschaftsinformatik, Olten