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

- Build event-driven pipeline for data collection from the social media platform
- Build ML pipeline for ranging videos for posting
- Developed ETL pipeline from scratch (using Airflow and Docker) so it got much better in terms of monitoring, configuration, and execution time 
- Refactored dashboards from static to more interactive and informative.
- Built a notification system about changes in business processes, so it became possible to do process analytics by analyzing logs from this system (eg. reporting based on log files)
- Detected fraud (which wasn't detected by ML) based on basic descriptive analytics and saved the company's money
Experience in:
- Building dashboards (Tableau/Data Studio)
- Building ETL pipelines (Airflow\Docker)
- Data modeling/DWH
- A/B tests analysis
- Using statistical and ML techniques to solve business problems
- Project management

Interested in further developing in:
- Programming
- Statistics/Data Mining/ML