• SQLAlchemy (ORM) & Alembic (migrations)
• Design patterns for scalable and flexible solutions
• OOP principles with strict adherence to SOLID
• RESTful API design and implementation
• API versioning for backward compatibility and maintainability
• Use Ruff for write code

• Asynchronous programming (async/await, FastAPI, aiohttp)
• Caching with Redis to reduce database load
• Query optimization, indexes, and transactions for efficient database performance
• Rate limiting strategies to protect APIs from abuse
• Logging & monitoring for debugging and observability

• JWT authentication for secure access
• Session management for user state handling
• Following best practices to prevent common vulnerabilities (XSS, CSRF, SQL injection)

• Pytest for unit and integration testing
• Mocking and fixtures for reliable test environments
• Coverage analysis to ensure code quality

• Docker for containerization
• Docker Compose for orchestrating multi-service environments
• Pull request templates and Git workflow for collaborative development
• CI/CD pipelines for automated testing and deployment

• Swagger/OpenAPI for API documentation and client generation
• Clear README and project structure for maintainability

Hands-on experience integrating external APIs:

• Payment systems (YooKassa, CryptoCloud, ЮMoney) with secure transaction handling and webhook support
• AI aggregators for media generation (images, video, text), building scalable and reliable pipelines
• WebSocket communication for real-time features (chats, notifications, streaming data)
• Following best practices: async requests, strict validation, error handling, and logging

Building Telegram bots with aiogram, focusing on clean architecture:

• Clear separation of modules: handlers/, services/, models/, utils/
• Async/await for responsiveness and performance
• Configurations managed via dataclasses or Pydantic
• Applying SOLID and DRY principles for maintainability
• Centralized logging and error handling for reliability