Illia
Python developer
- Возраст:
- 23 года
- Город проживания:
- Киев
- Готов работать:
- Удаленно
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Location: France (Right to work: APS / Temporary Protection)
Ready for immediate relocation to Serbia/Georgia
Email: [
Telegram: @Kargo7
Phone numbers: [
GitHub: https://github.com/Kargozaur
PROFILE
Backend Python Developer with 1 year of experience building scalable, asynchronous systems using Python
and FastAPI. Specialized in architecting event-driven architectures (RabbitMQ) and optimizing high-load
data persistence with PostgreSQL/SQLAlchemy.
Expert in containerization (Docker) and streamlining delivery through CI/CD pipelines. Proven track record of
delivering clean, maintainable code with a strong Computer Science foundation.
Currently based in France. Fully prepared for immediate relocation to Serbia/Georgia or within the EU.
SKILLS
Languages: Python, Go, SQL.
Frameworks & Libraries: FastAPI, dishka, Celery, SQLAlchemy (ORM/Core), Aiogram, Discord.py.
Testing: Integration testing, Mocking.
Databases & Infrastructure: SQL triggers and queries, PostgreSQL, Redis (Caching), RabbitMQ, Docker,
Docker Compose, Linux CLI, Alembic.
Tools: Git, Postman, GitHub Actions.
EXPERIENCE
Workout tracker
Designed and implemented a scalable backend for a workout tracking application following Clean
Architecture principles, ensuring clear separation of concerns, testability, and maintainability across
domain, application, and infrastructure layers.
Integrated asynchronous background processing with Celery for external API interactions (e.g., fetching
fitness data) and automated database maintenance tasks, improving system responsiveness and
reliability.
Implemented secure authentication with JWT, including access/refresh token rotation, minimizing risks
of token leakage and enhancing session security.
Kanban board backend
Implemented authentication using OAuth2 and JWT and built a granular RBAC (Role-Based Access
Control) system, managing complex workspace permissions and ensuring strict data isolation.
Designed and optimized relational schemas in PostgreSQL with SQLAlchemy, reducing query execution
time by implementing efficient indexing and eager loading for nested task structures.
Orchestrated a CI/CD pipeline via GitHub Actions, achieving automated deployment and 90%+ test
coverage with Pytest, ensuring zero-downtime updates in a Dockerized environment.
Notification Service
Developed a notification system that reduced user response time to critical events by 60% by
integrating the Telegram API.
Leveraged Redis-based caching to reduce redundant database lookups by 40%, ensuring sub-
millisecond data retrieval for frequent queries and a p95 latency of <50ms.
Containerized the entire ecosystem (App, Broker, DB, Cache) using Docker Compose for environment
parity between dev and production.
Scaled the system to handle up to 500 RPS by offloading notification delivery to background workers,
preventing API bottlenecks.
Koven bot
Engineered a highly extensible system using a "Cog" based structure and Dependency Injection,
ensuring clean separation of concerns and reducing friction when scaling with new features.
Developed a robust integration layer for the Raider.io API, implementing asynchronous data fetching,
polling and processing to provide real-time game statistics to users.
Created SQL triggers and constraints in PostgreSQL to automate data validation and maintain strict
consistency for multi-entity management (Users, Characters).
Optimized the bot's event loop to handle concurrent interactions, ensuring high availability and
responsive UI/UX for active community servers.
Expense Tracker
Introduced comprehensive request middleware for detailed logging, - monitoring, and observability of
user interactions
Engineered the system to achieve consistently high performance under significant load
Integrated custom request middleware for detailed logging and monitoring. This allowed for real-time
tracking of Error Rates and system health metrics.
EDUCATION
National Technical University “Kharkiv Polytechnical Institute”
Department: Software Engineering and Management — Intelligent Technologies
## LANGUAGES
Ukrainian — Native
Russian — Fluent
English — Upper-Intermediate
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