Dmitrii Gribanov - Lead Data Engineer

Dmitrii Gribanov

Lead Data Engineer

Tbilisi, Georgia

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Summary

👤

Senior

🎓

Top School

Dmitrii Gribanov is a Lead Data Engineer with 10 years building scalable data platforms and real-time analytics across gaming, industrial, and automotive sectors. He has led end-to-end data architecture, ETL/ELT and MLOps initiatives using cloud-native stacks (AWS/GCP/Azure), Spark, Kafka, DataBricks and containerized deployments to drive high-availability, cost-optimized pipelines. At Playrix he progressed from analytics programmer to lead roles, architecting large-scale game analytics on Redshift, Hadoop and Airflow, and more recently has held senior and lead positions across European and Georgian tech teams. Dmitrii contributes to open source—improving ClickHouse support in SQLAlchemy with new SQL function handling and robust tests—showing attention to both performance and correctness. He combines deep systems-level skills (Python/Java, SQL/NoSQL, IaC) with operational rigor in monitoring, incident response and data governance. Based in Tbilisi, he brings a pragmatic focus on performance optimization and production reliability that often surfaces as subtle fixes and test-driven improvements in mission-critical data tooling.

10 years of coding experience

16 years of employment as a software developer

Bachelor's degree Computer Systems Networking and Telecommunications, Bachelor's degree Computer Systems Networking and Telecommunications at Peter the Great St.Petersburg Polytechnic University

English

Github Skills (7)

databases10

sqlalchemy10

sql10

python10

database10

clickhouse10

testing9

Programming languages (3)

JavaScriptGoPython

Github contributions (5)

xzkostyan/clickhouse-sqlalchemy

Jun 2017 - Jul 2017

ClickHouse dialect for SQLAlchemy

Role in this project:

Back-end Developer / Database Engineer

Contributions:5 commits in 1 month

Contributions summary:Dmitrii contributed to the ClickHouse dialect for SQLAlchemy by implementing support for new SQL functions and constructs. They added functionality for `COUNT(expr)` and `EXTRACT` expressions within the dialect, enhancing its compatibility with ClickHouse features. Furthermore, the user added tests to validate the correct behavior of the implemented functionalities. In addition, they fixed a bug related to parsing TSV data and added tests for HTTP utility functions.

clickhousesqlalchemyyandexdatabasedialect

gribanov-d/cubesviewer

Mar 2016 - Sep 2017

Contributions:147 commits in 1 year 5 months

analyzingolapdatabases

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