Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 4

- created a desktop application from scratch with a variety of automation scenarios for non-tech users to reduce everyday manual work from a few hours to 10 minutes.
- built an ETL solution with 10+ various data sources, which runs on an everyday basis. Further BI solution is built on top of that.
I have various experience in the data engineering field:

- Implementation of ETL workflows

- Collecting and parsing data from different sources (DB, .csv and .excel files, API endpoints)

- Data Quality testing and Data preprocessing

- Automation of reporting and data processing routine

- Creating a desktop application from scratch with a variety of automation scenarios for non-tech users to reduce everyday manual work.

Besides tech skills, I have quite good communication skills. So I'm absolutely comfortable if a clarification call with a client is needed. I always try to understand what is the background of a problem I'm solving. It helps to find a variety of possible solutions and choose an optimal one. I like meetings with teammates for some research and thoughts sharing purposes.
Would be nice to work with:
- AWS
- Snowflake
- Building Data platform from early stages (development ETL, building Data lakes/warehouses, etc.) to Data visualization or building ML models on top of that in the future. 

Definitely don't want to work with:
- gambling
- dating
- trading
- focus on the post-soviet market (any russian companies, partners, or collaboration on work purposes)