Programming and IT
Rating: 2 315
  • Work experience: 14 years
  • Type of employment: Full-time freelancing
  • Legal status: Self-employed
Russia Russia
Cost of services: 1 200 RUB per hour / 120 000 RUB per month
Team experience: Team member
Language skills: Russian, English
Available / contact time: 10:00 - 22:00 (GMT+10)
Last activity: 09.09.2026 09:06

Dmitry Melnichuk Resume*

Dmitry Melnychuk has been specializing in web programming since 2012, utilizing Python along with frameworks such as Django, Flask, and Bottle. In his work, he designs REST APIs for web applications, mobile apps, and IoT, employing the Django REST Framework. He also works with databases like PostgreSQL and Redis. Dmitry maintains Linux servers, automates deployment processes, and tests code using pytest, combining backend development with frontend technologies such as Bootstrap and HTMX.

Reviews

Dmitry Melnychuk is a skilled and responsive performer who delivers quality work on time and is capable of working with existing code. Reviews confirm his high level of professionalism and willingness to provide support even after the project is completed. One review mentions a failure to complete work, but this is an exception and is not supported by other comments.

Portfolio projects

Skills and Technologies: Django, Django REST Framework, ElectricImp, Android, iOS, Bootstrap, Oscar, Celery, Apache Ignite, Python, Java, socket programming, ctypes, pytest, Sphinx.

Projects and Achievements: Dmitry developed the backend for the IoT device OBE ProBowl, ensuring integration between the device and mobile applications, as well as implementing cross-authorization. In the online store project "Vostok-Auto," he created an eCommerce website with integration into the 1C:Enterprise accounting system, which helped attract customers. As part of the Apache Ignite Python thin client project, he developed a client library in Python, enabling interaction with the Ignite cluster and implementing key algorithms in Python.

Achievements and Recognition: Dmitry's projects have received recognition through publications and production use, as evidenced by links to relevant resources.

* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.

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