Position: Strong Junior / Middle Python Developer
Category: Python
English level: intermediate
Years of experience: 1


RECENTLY COMPLETED PROJECTS
 Social Ad Spyder main product all backend and all frontend
Technologies stack:
- Python 3, Js ES6, HTML5 & CSS3
- MySQL, Elasticsearch, Redis, S3 Wasabi
- Django, VueJs, Vuetify, Rest API, jQuery
- Nginx, Linux services
- Zerobounce API
- Chargebee payment API
- Fire cloud messaging API
- S3 Wasabi API
- Authentication & Authorization by JWT
Team: 2 developers
Description: Providing advertising records collected from FaceBook Ads. After authorization, clients have access to view the collected data. The project is implemented according to RestApi principles. The backend part is written using Django, and there are many endpoints for different kinds of data for the frontend. The frontend part is written using vuejs/vuetify. Also i was a mentor for a junior developer
 Social Ad Spyder landing page all backend and all frontend
Technologies stack:
- Python 3
- Django
- MySQL
- HTML5 & CSS3
Team: 1 developer
Description: Landing page for Social Ad Spyder main product
 Social Ad Spyder knowledge base all backend and all frontend
Technologies stack:
- Python 3
- Django
- jQuery
- SQLlite3
- CKeditor
Team: 1 developer
Description: Blog site as knowledge base for Social Ad Spyder main product with articles
 Anstrex Pop Ads part of backend
Technologies stack:
- Python 3
- Django
- Google cloud vision API
- MySQL
- S3 Wasabi API
- Linux services
- Virtual Boxes
- ADB
Team: 2 developers
Description: The essence of the backend part is that android devices connected to the server collect ads from the Internet using NodeJs Nest framework and a special extension. They transfer the collected data to the Django server, which processes them deeply and saves them in MySQL
 Flask example project
Technologies stack:
- Python 3
- Flask
- Postgresql
- Pytest
- SqlAlchemy
- Asyncio
- Pipenv
- Pydantic
- Docker
- Caching
Team: 1 developer
Description: Flask example project with using leading technologies. There are two endpoints in this project. First, the data is parsed from csv files located at the root of the project, and then the data is stored in the database. By endpoints we can get data and set it to db.