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


An application that collects data from Facebook, Instagram, and Youtube posts.
Technology stack: Python (Flask), RedisQueue, Facebook Graph API, GCP (Youtube Data API),
PostgreSQL

NLP chatbot, which answers users' questions about various graphs displayed on the site
Technology stack:​ Python (Flask), Dialogflow + GCP

Building a web dashboard to display data in tables and various graphs based on client data taken from Elasticsearch
Technology stack:​ Python (Flask), Elasticsearch, D3.js, PostgreSQL

Building a web dashboard for a cryptocurrency exchange site based on the customer’s API
Technology stack:​ Vue.js, vue-router, axios, vuex

Developing a Slack bot that congratulates participants on their birthday based on a Google Calendar
Technology stack:​ Python (Flask), Slack API, MongoDB, Celery, GCP (Calendar API)

Writing scripts and instructions for automatically deploying a Druid cluster with auto-scaling 
Technology stack:​ Python, Bash, Ansible, Terraform, AWS (EC2, S3), Apache Druid, Zookeeper

A project that collects Buddhist scriptures and translations of these scriptures into multiple languages around the world. Tasks on the project were to write a rest API for the client, work with the Arango database, write pipelines for texts and translations into the right format and location, setting up github actions.
Technologies: Python, Flask, ArangoDB, Github Actions, Flask Restful, Docker

Building a dashboard and admin panel for a customer in the field of metallurgy. The dashboard contains graphs and tables for certain parameters from an external database. Tasks on the project were refactoring, writing new functionality (frontend + backend), rest API, tests.
Technologies: Python, Flask, FlaskRestful, PostgreSQL, SQLAlchemy, Pandas, Bokeh, Bootstrap, jQuery, Jinja2, pytest

A social networking application for alumni and current MBA students.
Technology stack: Python (Django), GraphQL, PostgreSQL, Graphene-Django, Docker,
Docker-Compose, Celery

Dashboard application for a company in the chemical industry. the application is designed to display historical data from devices in the client's complexes in the form of graphs and tables. Helping to visualize predictions of device states based on ML and historical data.
Technology stack: Typescript, React.js, Redux, Redux-Toolkit, Redux-Saga, Material UI, Highcharts