Ігор

IGOR YANKOVSKYY [відкрити контакти](див. вище в блоці «контактна інформація»)
[відкрити контакти](див. вище в блоці «контактна інформація»)
Data QA / Data Quality Engineer
Summary
Data Quality Engineer with hands-on data pipeline development experience: building and deploying
Python-based pipelines on GCP Vertex AI, containerized with Docker, to monitor and validate
large-scale ClickHouse data infrastructure. Combines a QA/testing background with growing data
engineering practice — automation, alerting systems, and data validation at production scale.

Work experience
2024 – present, Data QA Engineer, Rozetka, Hybrid, Kyiv, Ukraine
● Develop and deploy Python-based data quality pipelines on GCP Vertex AI (Docker containers in
Artifact Registry) to monitor 40+ ML pipelines across 100+ ClickHouse tables, using
JSON-based configuration to track defined tables and their generating pipelines.
● Built and scheduled a daily Python pipeline scanning 50+ GitLab repositories for ClickHouse
table references, maintaining an up-to-date project-to-table dependency map and establishing
basic data lineage tracking across the ML pipeline landscape.
● Detect data anomalies before they reach analytics/forecasting using validation rules and
statistical checks, and monitor upstream pipeline health — triggering automated Google
Chat/Telegram alerts for data-quality issues and schedule/state changes in generating
pipelines.
● Initiated a Redash dashboard for real-time visibility into status, key metrics, and change history
across 100+ ClickHouse tables — defined requirements and prepared/validated data sources for
the analyst who built it.
● Maintain a Google Sheets-based data catalog integrating the lineage map — used daily by the
ML engineering team (up to 10 engineers) and 1-2 ETL engineers as the primary resource for
discovering and tracking data assets.
2023 – 2024, QA Engineer, 2K Group, Remote, Kyiv, Ukraine
● Designed and maintained 800+ Zephyr test cases and suites for 6 applications, covering key
game flows on desktop and mobile.
● Identified and reported ~20 issues per week through structured functional/UI/API testing,
reducing defects escaping to players.
● Created and updated project documentation (guides, flow schemes) and reviewed requirements
to keep test coverage aligned with changing features.
● Built a standalone probability-calculation tool in Excel for a lottery-style game mechanic (5-of-36
letter draw): structured a multi-sheet workbook with cross-sheet lookups (XLOOKUP, INDEX,
MATCH, etc) and combinatorial formulas, generating up to 1,000 combination rows per sheet to
validate win-probability calculations before release.
2018 – 2023, QA Engineer, Fiver London Ltd., Remote, Kyiv, Ukraine
● Maintained a stable e-commerce platform (OSC–Hybris–PeopleVox) through full regression,
smoke, and functional testing across front-end and API layers — supported by 400+ TestRail test
cases, keeping weekly defect count under 5 and zero critical production issues over 5 years.
● Investigated individual failed transactions, reconciling order data across front-end, back-end
(API), and Kibana logs to trace discrepancies and isolate root causes through the full
order-to-fulfillment cycle.

Igor Yankovskyy, Data QA Engineer
● Authored QA documentation (guides, process schemes) to standardize transaction
troubleshooting and order-flow testing across the team, using Jira/Confluence for coverage
tracking.
2012 – 2018, QA Team Lead
2009 – 2012, Test Engineer, 2K Group, Office, Kyiv, Ukraine
● Grew from Test Engineer to QA Team Lead over 9 years, contributing to 20+ game launches
including Samurai Split, Wildrun, Foxin Wins, and Blackjack titles.
● Led QA processes using Agile/Scrum methodology, acting as Scrum Master and conducting
weekly negotiations with product owners in English; administered Jira.
● Performed testing across desktop and mobile platforms; maintained full test documentation.
● Introduced early test automation using AutoHotkey.

Education
● Honoured Diploma in System Engineering
Computer Engineering and Information Science, Kyiv Polytechnic Institute

Languages
● English – B2 ● Ukrainian – native

Certifications
● 2026 – HackerRank. SQL (Basic), SQL (Intermediate), SQL (Advanced)
● 2024 – ISTQB Certified Tester - Advanced Level - Test Analyst

Skills
● Data Engineering & MLOps: Python (Pipeline Development), GCP Vertex AI, Docker, Artifact
Registry, ClickHouse
● Infrastructure: Windows, Android, iOS, Cross-browser / Cross-platform testing
● Data & Analytics: Python, SQL (ClickHouse in production, HackerRank certified), Product
Analytics, Mathematics and Statistics for Data Science
● Automation & Programming: Python (Pandas, Polars), Python/Java (Test Automation), API
Testing, Google Chat/Telegram API, Google Sheets (automation)
● Methodologies & Standards: ISTQB Advanced Level - Test Analyst, SDLC/STLC, Test Design
● Tools: VS Code, Jupyter Notebook, dBeaver, Jira, TestRail, Kibana, Hybris, PeopleVox
● BI & Visualization: Redash (production), Tableau Public (pet project)
● Soft Skills: Problem-solving, Collaborative, Good sense of time management

Pet Projects
● SF Bikeshare Analytics — analysis of bike rental data (San Francisco, BigQuery public dataset),
Tableau Public visualization

Cources
● 2026 - DataCamp. PostgreSQL Summary Stats and Window Functions
● 2024 - DataCamp. Python courses
● 2023 - “Robot Dreams” IT School. Mathematics and Statistics for Data Science
● 2023 - “Robot Dreams” IT School. Product Analytics
● 2022 - “Perspektiva” IT School. SQL for Business Analyst
● 2020 - “Foxminded” IT School. Automation QA (Java)