Position: Senior Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 3

Got certificates in DB direction: DB development (IT Academy), BrainBench (sql server administration), hackerrank (sql, python), oracle (LinkedIn), MongoDB (mongoDB university), Sql. 

Also I am certified by AWS Certified Cloud Practitioner (CLF-C01), Microsoft Certified: Azure Data Fundamentals (DP-900), Astronomer Certification for Apache Airflow Fundamentals, dbt fundamentals.

All information you can see at my LinkedIn profile.

In 2011 I was 4th in the rating of students in mathematics in Ukraine.
Some company [2020-present]:
Current project: Having joined the team as data engineer for two years now, I grew up to the position Team Lead, so for 9 months now I’ve been leading the team and migration for legacy products into brand new platform. Moreover, my responsibilities included delivering releases on time, team planning using OKRs, hosting all discussions, maintaining ETL and creating new validation areas for customers, supporting legacy applications, participating into on-call activities.
Tech stack: AWS, MSSQL, T-SQL, MySQL, Java, ASP.NET, F5, DataDog, Splunk, Gerrit, PowerShell, project specific language to validate data.

Previous project: My main responsibilities included developing and maintaining DWH, ETL, CI/CD pipelines, generating test data based on customer needs, sustaining support activities.
Tech stack: Azure, MSSQL, T-SQL, Python, Apache Airflow, Jenkins, Docker.
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My way was started from IT Academy in 2019, then the job offer was received. I was immersed into DW techniques and methodologies, practiced with MSSQL, Power BI, built and deployed SSIS packages. I learned how to operate with Oracle, PostgreSQL, MongoDB and Vertica.
I’m eager to be challenged in order to grow and further enhance my skills related to databases (RDB's and NoSql) and Scala development. So, if company is not promoting and offering professional growth I will not join the team.