Sander Tan is a Senior Data Engineer with 11 years of experience translating complex biomedical and research problems into production-grade data platforms. With a background in bioinformatics and computational epigenetics, he has moved from academic research into healthcare and fintech, building pipelines, structuring clinical trial data, and operationalizing AI-driven applications. At organizations like UMC Utrecht and myTomorrows he bridged domain expertise and engineering to make clinical datasets usable at scale, and he now applies that discipline to data engineering at ING. Colleagues describe him as equally fluent in experiment-driven analysis and robust platform development—a blend that helps surface practical insights while keeping reliability and governance front and center. An underappreciated strength is his history of designing reproducible pipelines for regulated environments, which informs his pragmatic approach to production data systems.
10 years of coding experience
11 years of employment as a software developer
Master of Science (MSc) Bioinformatics, Master of Science (MSc) Bioinformatics at Vrije Universiteit Amsterdam (VU Amsterdam)
Bachelor of Science (BSc) Bèta-Gamma Major Biomedical Sciences, Bachelor of Science (BSc) Bèta-Gamma Major Biomedical Sciences at University of Amsterdam
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