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Backend Developer (Python)

Вік:
20 років
Місто проживання:
Київ
Готовий працювати:
Дистанційно, Київ, Львів, Одеса

Контактна інформація

Шукач вказав телефон та ел. пошту.

Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.

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Sviatoslav Valchyshen
Python Developer
vlchshn.code​@gmail.com [відкрити контакти](див. вище в блоці «контактна інформація») Kyiv, Ukraine / Remote vachyshen_s

PROFILE
Middle Python Developer with 2+ years in production Healthcare B2B. Specialize in FastAPI, async
PostgreSQL, Redis caching, and Celery-based task pipelines. Looking for a backend role with complex
integrations and real performance challenges.

PROFESSIONAL EXPERIENCE
S-PRO 03.2024 – Present | Ukraine, Remote
Python Developer
Project: Healthcare B2B ERP — medical data management and laboratory integration system for a European
clinic network, built on a hybrid architecture (Django-based core and high-throughput FastAPI services).
Team: Agile team of 8 (PM, Tech Lead, 3 Backend, 2 Frontend, 2 QA), 2-week Sprints, Jira.
Tech Stack: Python, FastAPI, Django, DRF, Pydantic, asyncio, SQLAlchemy 2.0, PostgreSQL, Redis, Celery,
WebSockets, Docker, GitHub Actions, Prometheus, Grafana, pytest.
Developed FastAPI endpoints for external medical laboratory integrations, supporting a throughput of


12,400+ daily requests.
Implemented a multi-level caching strategy using Redis (Cache-aside pattern) for high-frequency analytical


queries, resulting in a 54% reduction in PostgreSQL CPU usage and decreasing dashboard load times from
4.1s to 620ms.
Leveraged Redis as a message broker for Celery to handle long-running tasks like automated PDF report


generation and mass notifications, improving API response times under peak load.
Integrated a real-time notification system via WebSockets using stateless JWT authentication to provide


instant alerts for medical staff, reducing status update latency by 47%.
Wrote unit/​integration tests with pytest, achieving 83% coverage of FastAPI codebase.


Configured Sentry for runtime error tracking and set up performance monitoring dashboards using


Prometheus and Grafana.
Implemented Docker multi-stage builds for FastAPI services, reducing final image sizes by 65%. Configured


CI/​CD pipelines via GitHub Actions and managed local environments with Docker Compose.
Refactored and maintained core Django modules, including doctor scheduling and electronic health records


(EHR), resolving 64 legacy bugs.
Developed endpoints using Django REST Framework with JWT authentication and RBAC to extend


administrative panel functionalities for 215 internal users.
Wrote pytest tests for core Django modules, increasing code coverage from 41% to 76%.


SKILLS
Backend: Python, FastAPI, Django, DRF, asyncio, Pydantic, Celery, WebSockets, JWT/OAuth2, pytest
Databases: PostgreSQL, Redis, SQLAlchemy 2.0 (async), Alembic
DevOps: Docker, Docker Compose, GitHub Actions
Tooling: Poetry, Ruff, Git, Linux
Monitoring: Sentry, Prometheus, Grafana
Process: Agile, Scrum, Jira

EDUCATION
Bachelor of Computer Engineering
Faculty of Applied Mathematics (FAM)
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"

LANGUAGES
Ukrainian
Native speaker (C2)

English
Intermediate (B2) — Strong technical reading & documentation skills

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