Сервіс пошуку роботи №1 в Україні
Тетяна
Python Backend developer
- Вік:
- 24 роки
- Місто:
- Черкаси
Контактна інформація
Шукач вказав: ТелефонЕл. поштуМесенджер
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/19857118/
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Tanya Bondar
Python backend developer
[відкрити контакти ](див. вище в блоці «контактна інформація») Cherkassy, Ukraine LinkedIn
GitHub
Summary
Python backend developer with three independently built and deployed projects spanning FastAPI, Django,
and async bot architecture — comfortable reading technical documentation in English. Comfortable owning
the full cycle...
Skills
Python 3.x FastAPI Django
PostgreSQL SQLAlchemy 2.0 Redis
Docker / Docker Compose Nginx Git
Projects
04/2026 – 08/2026 HomeMade
E-commerce Platform
Live demo · GitHub
Tech: Python 3.12, Django 6.0, Redis, PostgreSQL, Nginx, Docker
Built and deployed a Django e-commerce platform with Docker, PostgreSQL,
•
Redis, Gunicorn and Nginx, including Google OAuth2, AJAX cart and dynamic
checkout validation.
Optimized catalog performance with pagination and image compression,
•
reducing image assets from ~53 MB to ~9.8 MB.
Delivered a paginated production catalog with ~120 ms median / ~146 ms p95
•
response time, benchmarked using ApacheBench (n=100) across representative
pages.
03/2026 – 05/2026 Credits & Plans
Asynchronous Financial Analytics System
Tech: FastAPI, Pandas, PostgreSQL, SQLAlchemy 2.0, Docker.
Built an asynchronous FastAPI financial analytics system with PostgreSQL,
•
processing 50K+ records per ETL run (users, credits, payments, plans).
Delivered 85–132 ms average production response times across key analytics
•
endpoints, benchmarked with ApacheBench (n=100, c=1).
Implemented validation for invalid dates, empty amounts and duplicate plans
•
during data import.
02/2026 – 03/2026 CafeSmile
Backend-Powered Telegram Ordering System
Tech: Python, Aiogram 3.x, PostgreSQL, SQLAlchemy 2.0, Docker.
Production Telegram ordering bot built with Aiogram, SQLAlchemy and
•
PostgreSQL.
Implemented a 3-state FSM for the complete order flow, asynchronous database
•
operations, cart management and online/cash payment processing.
Deployed and actively maintained in production since February 2026.
•
Python backend developer
[
GitHub
Summary
Python backend developer with three independently built and deployed projects spanning FastAPI, Django,
and async bot architecture — comfortable reading technical documentation in English. Comfortable owning
the full cycle...
Skills
Python 3.x FastAPI Django
PostgreSQL SQLAlchemy 2.0 Redis
Docker / Docker Compose Nginx Git
Projects
04/2026 – 08/2026 HomeMade
E-commerce Platform
Live demo · GitHub
Tech: Python 3.12, Django 6.0, Redis, PostgreSQL, Nginx, Docker
Built and deployed a Django e-commerce platform with Docker, PostgreSQL,
•
Redis, Gunicorn and Nginx, including Google OAuth2, AJAX cart and dynamic
checkout validation.
Optimized catalog performance with pagination and image compression,
•
reducing image assets from ~53 MB to ~9.8 MB.
Delivered a paginated production catalog with ~120 ms median / ~146 ms p95
•
response time, benchmarked using ApacheBench (n=100) across representative
pages.
03/2026 – 05/2026 Credits & Plans
Asynchronous Financial Analytics System
Tech: FastAPI, Pandas, PostgreSQL, SQLAlchemy 2.0, Docker.
Built an asynchronous FastAPI financial analytics system with PostgreSQL,
•
processing 50K+ records per ETL run (users, credits, payments, plans).
Delivered 85–132 ms average production response times across key analytics
•
endpoints, benchmarked with ApacheBench (n=100, c=1).
Implemented validation for invalid dates, empty amounts and duplicate plans
•
during data import.
02/2026 – 03/2026 CafeSmile
Backend-Powered Telegram Ordering System
Tech: Python, Aiogram 3.x, PostgreSQL, SQLAlchemy 2.0, Docker.
Production Telegram ordering bot built with Aiogram, SQLAlchemy and
•
PostgreSQL.
Implemented a 3-state FSM for the complete order flow, asynchronous database
•
operations, cart management and online/cash payment processing.
Deployed and actively maintained in production since February 2026.
•
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