Богдан Ветеран

Bohdan Oliinyk
Python Developer

SUMMARY
I'm a Python Backend Developer specializing in Django and FastAPI.
I am eager to continuously grow, learn new technologies, and
develop skills to build scalable and efficient backend solutions.
Experienced with Celery, Redis, Docker, API integrations, and web
scraping.

WORKING EXPERIENCE
Python Developer – Automation & Web Scraping

May 2025 – Dec 2025

CONTACTS Technologies:

[відкрити контакти](див. вище в блоці «контактна інформація») Python, Requests, BeautifulSoup, Selenium, Playwright, FastAPI,

[відкрити контакти](див. вище в блоці «контактна інформація») Docker, Git, Redis, and others
OliynikBogdan
github.com/2Dkun1355/ Responsibilities & Achievements:
Lviv, Ukraine
Developed automated scripts from scratch for complex

workflows and data collection
SKILLS & TECHNOLOGY Built web scraping and parsing tools using Requests,

Python BeautifulSoup, Selenium, and Playwright
Django, Django Rest Framework Collected, cleaned, normalized, and aggregated data from

Celery / Celery Beat websites and APIs for analysis or integration into larger systems
FastAPI Integrated scripts as modules into comprehensive data collection

Ubuntu / Linux systems for large-scale automation and analytics
Aiogram, pyTelegramBotAPI
Requests, BeautifulSoup, Selemium/Playwright
Docker, Docker-Compose
Redis
PROJECTS
Git / GitHub Lecture Schedule API & Telegram Bot Integration
Postman
Technologies:
EDUCATION Python, FastAPI, SQLAlchemy, Pydantic, Aiogram, Docker, Git

LVIV NATIONAL ENVIRONMENTAL
 and others
UNIVERSITY
Information Systems &

Technologies.
Responsibilities & Achievements:
2024 - NOW
Developed a REST API using FastAPI with SQLAlchemy ORM and
Pydantic for data validation
LANGUAGES Integrated a Telegram bot (Aiogram) to allow students to track

Ukranian: Native their schedules and receive push notifications about lecture start

English: Pre-Intermediate times
Implemented data models and business logic for managing

schedules and faculties
Optimized database interactions to improve query efficiency

and enable fast schedule retrieval