Summary
Igor Mosyagin is a data consultant and pragmatic engineer with 11+ years transitioning from backend development and academic R&D into data engineering and platform roles. He combines a PhD-level background in theoretical and condensed matter physics with hands-on expertise in Python, big data, stream processing, and quantum computational physics, having built and managed a ~100-node HPC cluster for materials research. At Klarna he improved data platform reliability, documentation, monitoring and developer productivity, and has since focused on developer advocacy and bespoke data solutions. An experienced educator and conference speaker, he regularly teaches data engineering topics (Kafka, Airflow, monitoring) and mentors engineering teams. Based in Stockholm, he brings an uncommon blend of academic rigor and product-minded pragmatism to data infrastructure and ML-driven systems.
11 years of coding experience
13 years of employment as a software developer
National University of Science and Technology "MISIS" (Moscow Institute of Steel and Alloys)
Master's degree Nanometrology, Master's degree Nanometrology at Moscow Institute of Physics and Technology (State University) (MIPT)
Doctor of Philosophy - PhD Theoretical Physics, Doctor of Philosophy - PhD Theoretical Physics at Linköping University
English, Russian, Swedish