Igor

Gorbenko Igor

Contacts: gorbenkoigorek@mail.ru | +79858947035

Desired job: System analyst / Data analyst / ML engineer / Data platform Team Lead

Desired annual salary: 70k-90k euro

Skills: SQL, Trino, PostgreSQL, Python, Machine Learning, Artificial Intelligence, Data analysis, Computer Vision, Apache Airflow, Apache Superset

Work experience:

System Analyst | feb 2024 – now | M2, Moscow

– Developed custom JavaScript application for parsing data structure from JSON documents in MongoDB, helping BI analysts to find needed data without getting additional permissions

– Developed custom Python application for SQL script generation, reducing median time-to-market of data products from 2 months to 1.5 weeks.

– Developed custom Python application for Git Merge request AI analysis, which reduced median approve time by 24 hours.

– Developed an AI chat assistant for tech support team, lowering waiting time by 66%.

– Developed custom SQL macros, using DBT and Jinja, to simplify interaction with different time formats (UNIX-time, ISO8601, etc.)

– Designed data dashboards for database health metrics, which lowered response time by 25% and sped up recovery process by 40%

– Created automatic scheduling using Airflow

– Unified data from 5 different databases (Trino, PostgreSQL, MongoDB, MySQL, ClickHouse) in one place for BI-analysts’ convenience, reducing median dashboard time-to-market by 10 work days.

Backend Team Lead | june 2023 – feb 2024 | Central Bank of Russia

– Developed MVP API service for microfinancial organisations using Django framework with PostgreSQL as main database and Nginx as web server

– Architected a Data warehouse optimized for users and company analytics.

– Hired performative middle and junior backend developers. Guided them to a higher grade, increasing our department’s work satisfaction level by 27%.

– Established working processes for my team using AGILE principles.

Education:

NRU HSE, Bachelor of Economics

NRU HSE, Master of Computer Science (machine learning and AI)