Summary
Dzmitry Makatun is a Big Data Developer with 11 years of experience, currently optimizing performance and monitoring of Spark applications at Absa Group in Prague. He holds a PhD in Applied Mathematics from Czech Technical University, where his research—conducted with Brookhaven National Laboratory and CERN—focused on scheduling and optimization of geographically distributed large-scale data processing for high-energy physics. Dzmitry blends academic rigor in distributed systems with practical finance-industry engineering, having implemented solutions at Barclays and contributed to data transfer and caching studies at national labs. His background in CFD and physics gives him a quantitative edge for performance modeling, and he is comfortable taking research ideas through deployment in production environments.
11 years of coding experience
3 years of employment as a software developer
Master's degree, Physics, Master's degree, Physics at Belarusian State University
Doctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at Czech Technical University in Prague
High School, Physics, High School, Physics at Lyceum of Belarusian State University
English, Russian, Russian, Czech, German