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


German planned economy

The German project aims to create a comprehensive database of economic plans, and sources to
better understand the workings of a planned economy. The project uses web scraping techniques
to collect and curate data from publicly available sources.

Role:
 Developed RESTful API
 Integrated system to external services
 Devised document relationships within MongoDB

Technology Stack:
 Python 3
 FastAPI
 MongoDB
 Beanie(ODM)
 DockerDocker-compose

Project for building and scaling CPG brands 

Role:
 Successfully developed custom connectors to seamlessly integrate Shopify and other e-
commerce or analytics platforms, allowing for streamlined data exchange.
 Designed and implemented eicient ETL services that collected, transformed, and delivered
streaming data in near real-time to data lakes, data warehouses, and analytics services, en-
suring reliable and timely access to critical insights.
 My technical expertise, coupled with my ability to deliver on complex data integration and
transformation projects, make me a valuable asset to any team seeking to optimize their data
strategy.

Technology Stack:
 Python
 AWS (IAM, S3, Kinesis, EventBridge, Lambdas, RDS)

Automatic Retinal Image Evaluation
Developed an online system for automatic evaluation of retinal images based on state-of-the-art
AI technology.

Role:
 Developed website (frontend and backend)
 Integrated AI image analysis services
 Implemented real-time dashboard, analysis status, etc. using WebSockets

Technology Stack:
 Python
 Django
 WebSockets
 PostgreSQL
 Redis
 HTML/CSS/JS
 Docker-compose

Medical Data Project 
Developed a platform that provides aggregated reporting data for healthcare organizations to
make actionable business decisions.

Role:
 Responsible for the backend team
 Integrated geocoding services
 Implemented spatial statistics on the map
 Generated reports using the Elasticsearch aggregation framework

Technology Stack:
 Python
 FastAPI
 AsyncIO
 Pydantic
 AWS (EC2, S3)
 Elasticsearch Kibana
 PostgreSQL
 Celery
 RabbitMQ
 PDF generation tools
 Multithreading/Multiprocessing

Distributed DBMS with SQL-like interface based on MapReduce model (Master’s thesis)
The distributed database management system (DBMS) with an SQL-like interface and processes
big data based on the MapReduce distributed computing model.

Technology Stack:
 Python
 FastAPI
 AsyncIO
 AIOHTTP
 Redis
 MongoDB
I expect interesting work and friendly teammates.