Mikhail Raskoshnyi - Резюме Python Developer

DAT STUDIO 3 years and 2 months Python Developer March 2023 — April 2026 (3 years and 2 months) IT company founded in 2021. Specializes in digital product development, IT consulting, technical support, and related areas. Team processes: Developers complete tasks in sprints, QA verifies functionality, the manager coordinates work and client communications, after which the project is deployed to stage/production and transitions into maintenance. Key Projects CRM System for Electricity Consumption Data Collection and Analysis (Django) One of the key projects was the development of a CRM system for collecting and analyzing electricity consumption data using Django. I built a web application with a monolithic architecture that enables management companies and resource supply organizations to efficiently collect, process, and analyze electricity consumption data. Thanks to Django's built-in ORM tools, middleware, and Redis caching, the system reliably handled up to 100 concurrent users. Authentication based on Django Auth and a notification system via Django Signals alerted consumers about meter reading deadlines and outstanding payments. The project ran on Nginx. CRM System for a Freight Transportation Company (FastAPI) Developed a CRM system for the dispatch service of a freight transportation company, built on a microservice architecture using FastAPI. The system automated the creation of orders, driver assignment, shipment status tracking, and trip cost calculation. Landing Pages (Flask) Beyond CRM systems, I developed over 20 landing pages using Flask for small businesses — including a dental clinic, fitness club, law firm, and delivery restaurant. Responsibilities Development, debugging, and refactoring of backend services in Python (FastAPI, Flask, Django); Designing web applications and microservices, applying microservice architecture, DDD, SOLID, and KISS principles; Implementing REST APIs, integrating external services, processing JSON data; Writing SQL queries for databases, working with PostgreSQL and ORMs via SQLAlchemy and Django/DRF; Asynchronous programming and automation of queue processing using Celery and RabbitMQ; Data caching with Redis, optimizing application performance and architectural solutions; Functional testing using pytest, ensuring code quality; Data validation using Pydantic, documenting code, APIs, and business logic; Setting up CI/CD, maintaining and deploying services on Linux servers using Docker and Git; Participating in architecture design, understanding technical solutions and their implementation; Enhancing existing functionality, writing documentation.

Siberian State Industrial University, Institute of Economics and Management, qualification: Economist

Python Pytest HTTPX Gitlab CI/CD PostgreSQL JSON API API HTTP Selenium REST API Calery Django Rest Framework FastAPI Django Framework Flask Redis SQL Linux Git MySQL RabbitMQ Docker Docker-compose Apache Kafka SQLAlchemy Gunicorn / Uvicorn asyncio AWS Nginx

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English — A2, can read technical documentation

Experience with Git (GitHub/GitLab), CI/CD (GitHub Actions, GitLab CI)

Understanding of REST, HTTP, WebSocket principles

Confident Linux user (Ubuntu, Debian), writing bash scripts

Experience with Docker (Dockerfile, docker-compose)

Attention to detail, responsibility for deadlines, ability to work in a team

Experience with code review and writing documentation