Career

Team Lead and Data Engineer in the Data department dealing with infrastructure, frameworks, and QA approaches.

• Implemented a self-service transformation framework allowing anyone to make data transformations based on SQL language.
• Introduced the best development practices into the daily routine of the Data department: CI/CD, quality gates, and static code analysis
• Manage and improve Cloudera-based Hadoop clusters
• Cluster migration to Docker-based on-premises solution
• Team management: planning, reporting, hiring, reviews, etc.

• Responsible for data-related topics (ETL, ML) in the Analytics department
• Embedded quality as an integral part of the development process
• Tuned CI/CD pipeline to provide shorter feedback loop
• Hands-on leadership by example, helping team members understand frameworks and troubleshoot issues
• Switched to Google Cloud to optimize infrastructure and maintenance costs
• Migrated ML microservices to GAE

• Built automated testing in the Web department - technology, process, people, and infrastructure
• Built a community around test automation expertise to share knowledge between projects, departments, and regional offices
• Implemented radical shift-left in test strategy
• Switched majority of test automation effort from UI to API and unit tests
• Developed open source libraries for testing purposes: Grail, Webium

• Helping with automated testing development: framework creation and enhancements, process improvements, and training
• Performance testing

• Providing training on Selenium/WebDriver
• Consulting on automated testing related issues

• Managed a team of 20 people to support UI automation of the Oracle ATG eCommerce product
• Implemented an open-source-based solution to test Flex applications

• Black box testing
• Test script development (automated and performance testing)
• Led multiple automated and performance testing projects

Belarusian State University, Faculty of Applied Mathematics and Informatics