Summary
Dmitriy Markovich is a Senior Scientific Data Architect with 13 years of experience building data-driven solutions at the intersection of biomedical research and cloud engineering. He has led machine learning and data platform initiatives at Novo Nordisk—designing GxP-compliant ML production systems, architecting Azure and AWS services for large-scale omics and GUI workloads, and standardizing CI/CD for analytical applications. Comfortable both as a hands-on developer and technical lead, he has a strong track record of shipping fast ETL systems, reproducible web apps, and in-house data science tooling while also stewarding AI governance. His academic background (PhD in Data Analysis in Experimental Biomedical Research) informs a rigorous approach to experimental data, and his early training in photonics and applied math underpins a quantitative mindset. Now at TetraScience, he focuses on bridging laboratory data workflows and cloud-native architectures to accelerate scientific discovery. Colleagues describe him as fast-learning, highly committed, and adept at turning complex regulatory and scientific constraints into practical production solutions.
13 years of coding experience
14 years of employment as a software developer
Danish language for foreigners, Danish language for foreigners at Studieskolen
Master’s Degree, Photonics and Optical Information technology, Master’s Degree, Photonics and Optical Information technology at ITMO University
Bachelor’s Degree, Applied Mathematics and Physics, Bachelor’s Degree, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Technical University of Denmark
Russian, Russian, English, German, Danish