Position: Python Developer
Category: Python
English level: intermediate
Years of experience: 4


1.  Project Description: An electronic auction system designed to sell state property. The goal of the system is transparent, fast, and effective sales of state and communal property, as well as fighting against corruption by the means of equal access to data, public control, and the increasing number of potential buyers. 
Tools & Technologies: Python 3.9, Aiohttp, MongoDB (pymongo),  Schematics,  PyTest, Docker, Kubernetes, GitlabCI/CD

2. Project Description: Risk management subsystem that provides the ability to process, maintain, test, and monitor risk rules and risk profiles. The system's purpose is the acceleration of the customs clearance of goods by ensuring the selectivity of customs control that is achieved by enabling the customs authorities to focus on risky foreign economic operations that simplify the process of customs clearance for respectable entities engaged in foreign economic activities. 
Tools & Technologies: Python 3.8, Aiohttp, MongoDB (motor), pydantic,  unittest, Kafka, Docker, Kubernetes, GitlabCI/CD

3. Project Description: An internal tool for the IT company that allows managers to more accurately prioritize tasks in the current sprint. The tool is a priority calculator consisting of a formula that indicates important criteria for the customer's company.
Tools & Technologies: Python 3.7, DjangoREST, Vue.js, Bulma, PostgreSQL, PyTest,  Docker, Kubernetes, GitlabCI/CD

4. Project Description: Online education solutions based on OpenEdX - a popular open-source platform, MOOC provider that was created by Massachusetts Institute of Technology and Harvard University
Tools & Technologies: Django, Mako, CoffeeScript, Docker, unittest

5. Project Description: Large enterprise, highly configurable platform intended to optimize business activities for government pricing, commercial contracting, and Integrated Business Insights. Our domain deal with reducing the challenges of prescription verification and rebate calculation.
Tools & Technologies: Python 3.7, Sanic, PostgreSQL(aiopg), SQLAlchemy, Kafka, Docker, Liquibase, marshmallow, PyTest, asynctest, Camunda, Jenkins, Flake