Position: Data Engineer on Python/Azure stack
Category: Data Engineer
English level: fluent
Years of experience: 1.5

During previous project I was implementing LIBOR replacement package for several clients, who were pioneering new SOFR and SONIA based rates for asset evaluation.

Took part in 24/7 Support Service during Winter Youth Olympic Games 2020;
Assisted our Dev team during Sprint Demos;
Facilitated the retrospective sessions on behalf of PM;
Maintaining existing ETL-pipelines;
Created custom Azure Data Factory (ADF) pipeline to pull latest updates from a 3rd party provider into the ADLS(2) storage with pure ADF tools only, without relying on external notebooks or .jar libraries
Automated MS SQL backups recovery from local .bak files into .bacpacs and further downstream into Azure SQL Server via PowerShell scripted VM
Run some PoC researches on various data processing solutions like Dask, Databricks and Trino.
Prepared Power BI dashboard for the data platform on top of StarBurst cluster (a.k.a. Trino // a.k.a Presto) capabilities demo with underlying sql materialized views


Another project purpose was creation of universal Data warehouse for sport related events and organizations. We have communicated a lot with International Olympic Committee and their sport dictionaries. As a data analyst I was reviewing existing DB records, updated our Knowledge base on Confluence regarding new changes in Competitions and provided new mapping/ transformation rules for our Dev team.
To further develop as a Python Dev or Data Engineer. Look forward hands-on experience with industry accepted tools and approaches like micro services, blue green deployments, CI/CD pipelines and orchestrations.