Evgeniy Tretyakov

Moscow, Russia / GMT+03

Lead Back End Developer — ООО "Облачные технологии"

106

Sessions complete

Team leader for more than 6 years, experienced at supporting and management of IT projects at all stages (full lifecycle). Have got a scientific degree in the field - "system analysis, management and information processing" - PhD. I have got experience working at international organisations like the IAEA and CERN. Wide experience of mentoring, able to clearly and sufficient convey ideas to specialists of different fields. Technology stack: Proxmox, Kubernetes, Docker, Apache Airflow (PostgreSQL, Celery, RabbitMQ), Django, Flask, FastAPI, Celery, MinIO, Ceph, Neo4j, MongoDB, Elasticsearch, Kibana.

🤝 Can help with

Поможетобучающимся самостоятельно прошедшим курсы Middle Junior прокачать навыкиразобраться с проектомсобрать портфолиопройти обучение по программес выполнением рабочей задачи

Data collection (Scraping). I teach methods for collecting information from websites of varying complexity, using lxml, BeautifulSoup (bs4), requests, aiohttp, and selenium. Covering data extraction, HTML processing, anti-scraping evasion, and browser-emulation techniques to get projects off the ground quickly and keep them robust to site structure changes
Building web APIs for services. We design API solutions of varying complexity with FastAPI or Flask. I include architecture design, database schemas (PostgreSQL, MongoDB, etc.), API documentation, and tests, plus Docker-based containerization. Result: fast MVP delivery, clear structure, and easier scalability and maintenance
APIs for high-load tasks. I design and implement services with FastAPI using PostgreSQL, Celery, and Redis to handle high traffic, ensuring resilience to peak latencies and scalability. Includes queue modeling, monitoring, and Docker packaging for easy deployment and operation
ETL systems development. I develop ETL pipelines via Celery or Apache Airflow, deployed in Docker or Kubernetes. Outline data conveyors, task scheduling, error handling, and monitoring to ensure repeatable, quality data integration.