Dmitry Sokolov is a pragmatic Data Engineer with nine years of professional experience and a decade-plus background in programming across Python, Java, Kotlin, Ruby, and C. He has built data warehouses from scratch using PostgreSQL, ClickHouse, Airflow, and Kafka, and since 2024 has been leading a DWH team at a Moscow telemedicine center. Known for rapidly delivering functional MVPs to test hypotheses and explore new technologies, he pairs hands-on engineering with public speaking and training experience. Dmitry favors unconventional feature-generation and solution design, blending structured data engineering with creative problem-solving. His education spans traditional sciences and modern computing—MSU in Geoecology and recent studies in algorithms, data science, and neural networks—reflecting a multidisciplinary approach to building robust data systems.
9 years of coding experience
3 years of employment as a software developer
Specialist, Geoecology Oil & Gas, Specialist, Geoecology Oil & Gas at Московский Государственный Университет им. М.В. Ломоносова (МГУ)
Bachelor, Computer Science, Data Science, Bachelor, Computer Science, Data Science at Open Source Society University
Neural Networks, Neural Networks at The AI University
Computer Programming, Data Structures and Algorithms, Computer Programming, Data Structures and Algorithms at Yandex Practicum
Yet another geo placemarks viewer and editor service (Vue.js)
Contributions:188 commits, 234 pushes in 4 years 10 months
vue-jsgeographygeoyet-anothervue
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