Position: Python Developer
Category: Python
English level: upper
Years of experience: 3

- Library for the Beeline applications - Identifies a person and document ( ID ) , the data is verified with the help of Government API
Worked with technologies such as:
Django | FastAPI | Asyncio | Celery | Redis | RabbitMQ | PostgreSQL | MySQL | SQLAlchemy | MongoDB | Pydantic | parsel | Docker/Docker-Compose | Selenium | Gitlab CI/CD

- Built various large-scale monitoring systems. At the research stage, thought through of database and whole project's architecture, eventually formed in schemas. In the end, wrote usage documentation to clients.

- Library for the Beeline applications - Identifies a person and document ( ID ) , the data is verified with the help of Government API

- Automation of mailing system of advertising and
message and whats-app rates

- Monitoring system - using micro-services architecture to build service for extracting data.
- Flexible working hours
- Interested in Django REST and FastAPI projects
- To do complex tasks
- Strong team