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Денис

Python Backend Developer

Город проживания:
Пустомыты
Готов работать:
Удаленно

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DENYS ROZUM | [открыть контакты](см. выше в блоке «контактная информация») | [открыть контакты](см. выше в блоке «контактная информация») | Telegram

Motivated backend developer with experience in building reliable and scalable REST APIs using Django and
Django REST Framework. I specialize in designing database architectures in PostgreSQL, containerizing
applications using Docker, and ensuring system stability through asynchronous task processing (Celery,
RabbitMQ). I have practical experience working with Git for version control, integrating payment systems
(Stripe), and managing cloud storage (AWS S3/Cloudflare R2).
TECHICAL SKILLS
Languages & Frameworks: Python (Core, Async), Django, Django REST Framework, Ukrainian (Fluent),
English (B2)
Databases & Storages: PostgreSQL, Redis, Cloudlfare R2, AWS S3
DevOps & Tools: Docker, Git, RabbitMQ, Celery
Integration: Stripe API, Telegram API, Spotify Web API
Core Concepts: RESTful APIs, RBAC, Asyncronous

FREELANCE EXPERIENCE
WebRocket — CRM for Digital Agency | 2025 [Showcase]
Web CRM, developed on Django with server-side rendering of HTML templates, is designed to manage the
entire customer lifecycle: from the first lead to the completed project. The system is intended for internal use
by managers, administrators, and agency owners.
 Designed and implemented a lead workflow: creation, processing, conversion to a client with
automatic creation of a related project, which eliminates lead loss and chaotic client database
management.
 Project management with statuses (active, completed, canceled) was implemented, allowing control
over the status of work and the agency's workload.
 Dashboards were created for managers and administrators with key business metrics: the number of
new, converted, and lost leads, as well as project statistics by status.
 A pricing module has been implemented: management of services and service packages,
percentage discounts, price adjustments depending on the client's country, manual payment
accounting.
 Analytical tools have been built: pie charts showing the distribution of projects by status and line
graphs showing the dynamics of leads over time to evaluate sales effectiveness.
 Telegram notifications have been integrated for prompt notification of new leads and messages from
the feedback form.
 Search, filtering, and export of clients and projects have been implemented, simplifying data
management.
 Multilingual support (Ukrainian, English, German) has been added for use of the CRM in different
markets.

PERSONAL PROJECTS EXPERIENCE
Spotify Stats - Personal Music Analytics Platform | 2025 [GitHub]
A web application for large-scale analysis of personal Spotify data with interactive visualizations and detailed
statistics.
 Processing hundreds of thousands of records from user-imported files via asynchronous background
tasks, ensuring fast and stable performance with large data sets
 Parallel asynchronous requests to the Spotify Web API to get complete information about tracks,
albums, and artists in real time
 Interactive dashboards and visualizations of listening patterns, top genres, activity over time, and
personal statistics
 Scalable architecture with Celery, Redis, and Cloudflare R2 for reliable large file processing and data
storage
 Improved processing performance and response speed for users with large listening histories,
including thousands of records

EDUCATION
Bachelor of Computer Science | Lviv Polytechnic National University (Ukraine, Sep 2023 - Present)

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