Dmitry Zotov
Data Engineer
Moscow, Moscow, Russia
Summary
👤
Senior🎓
Top SchoolDmitry Zotov is a data engineer with 9 years of experience and over 3 years focused on data engineering and data science in retail and banking environments. He builds and operates scalable data pipelines and ML deployments using Python, PySpark, Airflow, Hadoop ecosystem components and Greenplum, with hands-on experience in Kerberos-secured clusters and cloud computing. At X5 Digital he works on productionizing ML models and at Innotech he delivered data marts, Airflow DAGs and cross-team integrations for secure production rollouts. Dmitry supplements his professional work with Kaggle competitions (top 22% in a churn challenge) and publishes notebooks and projects on GitHub, demonstrating practical ML experimentation and reproducible pipelines. Trained in applied mathematics and computer science, he combines strong engineering rigor from Bauman MSTU with a pragmatic focus on deployable, auditable data systems.
9 years of coding experience
3 years of employment as a software developer
Completed coursesMaster of Engineering - MEng, Special Engineering, Master of Engineering - MEng, Special Engineering at Bauman Moscow State Technical University
Stackoverflow
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Github contributions (5)
CrzyPr1est/HelpDesk
Feb 2017 - Feb 2017
Contributions:17 commits, 16 pushes, 2 branches in 6 days
CrzyPr1est/wending
Mar 2017 - Mar 2017
Contributions:1 PR, 7 pushes, 1 branch in 1 day
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