Key Responsibilities: • Designed and developed backend architecture and application logic (FastAPI, CI/CD, queues, authentication, access control). • Planned and optimised database schemas; tuned SQL queries for performance. • Authored and deployed HELM charts to Kubernetes, including cronjobs and data stores. • Integrated third-party APIs (Tochka Bank, AmoCRM). • Configured, launched, and scaled message queues (Celery, Redis Streams, RabbitMQ). • Developed and maintained Telegram bots (aiogram, webhook). • Implemented unit tests and performed manual testing. • Set up monitoring, metrics collection, and profiling (Grafana, ELK). • Created documentation (Swagger, OpenAPI, Jira). • Formalised business requirements, performed analytics, decomposed tasks, and managed sprint planning. • Conducted internal performance reviews and code reviews. Achievements: • Reduced API response time by 50% through process offloading to background workers. • Improved database query performance by 20% via ORM and SQL optimisation (eager/lazy loading strategies). • Increased system stability by achieving 85–87% unit test coverage. • Reduced overall product development time by approximately 84 hours through efficient task prioritisation and distribution.

● Implemented features for telephony, notifications, and call domain services (Python/Django). ● Increased unit test coverage across the domain by ~17-20%. ● Designed microservices for SMS/Push/Call notifications (confirmation codes, marketing campaigns). ● Prepared release documentation and feature-level technical specifications (Swagger, Confluence, Notion). ● Refactored legacy codebase (migrate to Python 2.7 -> 3), introduced static typing, enforced PEP standards and code quality practices. ● Diagnosed and resolved software bugs; optimised slow SQL queries. ● Performed code reviews and managed deployments via Ansible and Kubernetes. Achievements: ● Designed, deployed, and maintained an SMS/Call notification microservice processing up to 1,000 requests per minute while consuming only 150–200 MB RAM. ● Deployed a Push notification microservice for all mobile platforms (Android/Firebase/FSM/Huawei Message Service), including token validation and storage, ensuring system reliability and improving user retention by 15-20%.

● Developed REST APIs from scratch (Django / Django REST Framework). ● Designed service architecture and database structures (DDL). ● Built and maintained ETL pipelines for data parsing, cleansing, and transformation from external sources (Quandl, Polygon, Alpha Vantage and other APIs). ● Managed and scaled background task queues (Celery, Redis Streams). ● Refactored legacy code and implemented PEP8 compliance, type hints, and linters. ● Administered Debian/Ubuntu servers; automated deployment and monitoring (Grafana, Sentry, Telegram alerts). ● Implemented unit and integration tests, increasing release stability and test coverage. Achievements: ● Designed and implemented a new API service enabling seamless integration with client systems and internal financial modules. ● Created an ETL system for automated processing of 300-500k events daily. ● Reduced heavy SQL query execution time by ~30% through index optimization, schema redesign, and Redis caching, enhancing user experience. ● Configured CI/CD pipelines and server infrastructure (Debian, Ubuntu), improving service reliability and release efficiency (semantic release).

● Maintained backend services (Django REST Framework, Flask). ● Designed architecture for data parser. ● Refactored and improved frontend components (HTML, CSS, JavaScript). ● Integrated external services and APIs (Telegram API, Qiwi, Instagram). ● Added unit tests, performed manual testing, and debugged business logic. Achievements: ● Developed a fully automated movie parser and API interface, doubling the number of titles on iw.kg. ● Implemented automatic data import and updates from Instagram for apofiz.com product listings. ● Integrated Telegram and Qiwi APIs, automating notification and payment workflows. ● Enhanced application stability via unit testing and monitoring systems.