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Тимур

Python-програміст

City of residence:
Kyiv
Ready to work:
Remote

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Tymur Avramenko
Python Backend Developer
E-mail: [open contact info](look above in the "contact info" section) | Telegram: @Gr1zeR1qq

Work format: Remote | Employment: Full-time / Part-time

ABOUT ME
Python Backend Developer with experience building backend services on FastAPI. I specialize in designing REST APIs,
PostgreSQL database design, and application performance optimization. Experienced with Redis, RabbitMQ, and Docker.
Also developing skills in Rust for building high-performance services.
SKILLS
Programming languages: Python, Rust, SQL.
Frameworks and libraries: FastAPI, asyncio, SQLAlchemy, Alembic, Celery, httpx, pytest.
Databases and queues: PostgreSQL, SQLite, Redis, RabbitMQ, NoSQL.
Tools and DevOps: Docker, Docker Compose, GitHub Actions, Git, Linux.
Languages:
● English - B1
● Russian – Native
● Ukrainian – Native
● Polish - B1

WORK EXPERIENCE
Python Backend Developer - October 2025 - present
E-COMMERCE & LOGISTICS PLATFORM
Python, FastAPI, PostgreSQL, SQLite, SQLAlchemy, Pytest, Alembic, Redis, RabbitMQ, Docker, Docker Compose, Git,
Linux, REST API, JWT.
Key responsibilities:
- Developing and maintaining REST APIs using FastAPI.
- Implementing new features and supporting existing services.
- Working with PostgreSQL and SQLAlchemy, writing and optimizing SQL queries.
- Using Redis for caching and storing temporary data.
- Integrating RabbitMQ for asynchronous email notifications and report generation without blocking the main API thread.
- Containerizing services using Docker and Docker Compose.
- Configuring unit tests to run on SQLite to speed up the test suite in CI/CD.
Achievements:
- Developed and refined more than 20 REST API endpoints for internal and client-facing services.
- Optimized several SQL queries, reducing response time for certain endpoints from roughly 300-350 ms to 150-180 ms.
- Implemented Redis caching for frequently accessed data, significantly reducing the number of queries to PostgreSQL.
- Contributed to improving the application deployment process using Docker Compose, reducing local environment setup
time from 15-20 minutes to 8-10 minutes.
EDUCATION
Computer Technician, ZSE (Zespół Szkół Ekonomicznych), Poland
2024 - Expected graduation: 2029

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