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

2017-07-2017-10 Programming using Python [LevelUp academy]
2018-06-2018-09 Python Development [Softserve university]
2019-10 The Bits and Bytes of Computer Networking [Coursera]
2020-03 Introduction to Docker [Softserve university]
2020-06-07 Advanced Python Programming [David Beazley]
2021-06-01 Yandex Praktikum Python Course
- SSkey softserve academy project
 Simple REST API project for storing your passwords.
Project is based on Flask framework.

 2 months
 Software Engineer
	Developing authentication and authorization.
	Creating login and logout routes
	Handle session for user
	Implementing unit tests
	Set up travis and handle travis errors
	Refactoring the code
	Telegram-bot
5 team members
Python, Flask, PostgreSQL, Sqlalchemy, Docker, Pytest, Git, Swagger io

- Healthcare benefit management program
Platform that allow collect and calculate performance-based metrics for B2B clients, leveraging modern approaches such as distributed system (Hadoop/Spark), microservices, clouded-based solutions.
 US company
 1 year and 6 months
 Software Engineer
	Added support of pagination;
	Implement features;
	Fixed bugs;
	Added logging;
	Migration some code to pyspark, wrote pyspark queries, 
filters and joins;
	Most of the microservices had a coverage more than 85%;
	Wrote technical documentation pages.
	End To End tests
 13 team members
 Python, Flask, PySpark, SQLAlchemy ORM/ Core, Docker, Pytest, Unittests, Git, Asyncio, Marshmallow, RabbitMQ, Kafka, Redis, Sanic, Zookeeper.

- Ticketing, CRM, Inventory Management, Barcode Labeling, Finance, Reporting & Analytics
Project Description: Ukrainian SaaS product that makes small and medium-size businesses much efficient and smarter.
Involvement Duration: 8 months
Project Role: Python Software Engineer
Responsibilities: 
- Implement / Design new features;
- Fixed bugs;
- API Telephony integration;
- Increase test coverage;
- Code review;
- Features from 0 to production-ready;
- Maintain project API;
- Data migrations > 20m rows.
Project Team Size:	17 team members
Tools & Technologies: Python, Django, Django ORM, Docker, Postgres, Pytest, Git, Asyncio, Collander, RabbitMQ, Redis, Celery.
The crucial point for me is to find like-minded people and work on something inspiring.