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Профессиональные навыки
PythonDockerLinuxPostgreSQLDjangoCeleryFlaskMongoDBRedisGit
Опыт работы
Leading Blockchain Research Company
Python Developer
Март 2018 — По настоящее время (1 год и 11 месяцев)
  • Refactored most of the social interactive app.
    • x100 speed-up
    • fault tolerant
    • scale in thread
    • monitoring
    • remote control for certain users (telegram bot)
    • documenting
  • Started from scratch multiple financial application with a successful pass to an end customer. Making a decision about what tech stack is most convenient for particular task, with a following involving all other colleges.
  • Leading young colleges. 
  • Eventual knowledge share and fast near whiteboard meeting.


Островок.ру, ООО
Москва
Python Backend Developer
Июнь 2017 — Март 2018 (10 месяцев)
  • Refactored part of a system which uses hard coded data to dynamically rendered templates for serving needs of an anti-fraud crew.
  • Created web API for mobile push notifications with admin panel.
  • Fixed Facebook OAuth2 integration.


Разработка системы для управления рекламой в социальных сетях.
Backend Developer
Август 2016 — Июнь 2017 (11 месяцев)
  • Created bot to simulate user interaction. In a result less question of "how to use".
  • Connected with a third party services.
  • Created administrator panel.
  • Added so called bucket for a e-commerce app.
Маяк
Москва
(Contract) Python Developer
Февраль 2016 — Июль 2016 (6 месяцев)
  • Integrated services using Django-rest-framework.
  • Created shop page with bucket using Django and JavaScript.
  • Creating personal page using Angularjs
  • Created parser using selenium-webdriver
  • Write mini-chat with administrator right on profile page
  • Added bot which simulate user actions in service, to show application usage.

Django, DjangoRestFramework, AngularJS, PostgreSQL, Psycopg2, Twisted, Redis, Supervisord, Docker, Bitbucket, Git.

Goodto
Москва
(Contract) Python Developer
Сентябрь 2015 — Февраль 2016 (6 месяцев)
  • Full text search.
  • Text content matching for theoretical data usage.
  • Chat with a administrator.
  • Third party service parser (even covered dynamically data).
  • Third party API using.

Django, JQuery, Python Difflib, ElasticSearch, PostgreSQL, Phantomjs, Selenium, Lxm

Высшее образование
Тюменский государственный университет
Тюмень
Факультет: Институт математики и компьютерных наук
Январь 2011—Январь 2016 (5 лет)