Андрій

ANDRII YANKO
Python Backend Engineer

PERSONAL DETAILS
Ukraine, Stryi
[відкрити контакти](див. вище в блоці «контактна інформація»), [відкрити контакти](див. вище в блоці «контактна інформація»)
LinkedIn: [відкрити контакти](див. вище в блоці «контактна інформація»)
GitHub: github.com/Akvilion
Telegram: @codeorion

PROFESSIONAL SUMMARY
Python Backend Engineer with 5+ years of experience building scalable backend systems and APIs.
Experienced in designing asynchronous architectures using RabbitMQ, developing high-load REST services,
and deploying production systems using Docker and CI/CD pipelines.
Worked both as a solo engineer owning critical architectural migrations and as part of large international
teams (50+ developers) delivering production-grade systems.
Strong focus on code quality, automated testing, and maintainable architecture.

WORK EXPERIENCE
Python Backend Engineer | LLC UMBP (Stryi) Mar 2024 - Present
Project: SOEE – Downtimes Tracker Service for equipment.
Developed backend services for an equipment downtime tracking platform, implementing core
features from architecture design to MVP delivery.
Implemented REST APIs using FastAPI and PostgreSQL to support equipment monitoring workflows.
Implemented CI/CD pipelines using GitHub Actions to automate testing, deployment, testing and code
quality checks.
Tech stack: Python, FastAPI, Docker/Docker Compose, GitHub Actions, REST API, Asyncio, Linux, PostgreSQL,
Pytest, JWT.

Python Backend Engineer | Amoniac OÜ (Remote) Jul 2023 - Feb 2024
Project: Greenstep (www.greenstep.com) – A comprehensive platform for accounting, payroll, CFO,
tax, and HR services.
Designed and implemented migration from synchronous REST communication to RabbitMQ-based
messaging, enabling asynchronous workflows and improving system scalability.
Tech stack: Python, RabbitMQ, REST API, Asyncio, Docker/Docker Compose, GitHub Actions.

Python Backend Engineer | Exadel (Remote) Apr 2021 - Jul 2023
Project: CompreFace (www.compreface.com) – Face recognition service based on deep neural
networks Oct 2022 – Jul 2023
Improved code quality and increased test coverage through large-scale refactoring and automated
tests.
Tech stack: Python, Docker, REST API, Pytest/Unittest.
Project: Deliverect (www.deliverect.com) – Ordering service connecting delivery channels and restaurants
Apr 2021 – Oct 2022
Developed a Belgian product supporting restaurants and dark kitchens by integrating various delivery
and order channels.
Designed and implemented new logic to support additional functions and POS (Point of Sale)
 integrations, such as "Rappi", with excellent test coverage and production-ready flows.
Tech stack: Python, Flask, MongoDB, REST API, JWT, Docker, Git, GitHub Actions.

Product Manager | Pixode (Stryi) May 2020 - Apr 2021
Project: Kinoa (www.kinoa.io) – Gaming management platform & LiveOps Engine.
Led a core team of five developers to build Kinoa from concept to Minimum Viable Product (MVP).
Communicated requirements effectively throughout the development process and fostered a
productive working culture.
Tools & Methodologies: Product Management, Sprint Planning, Retrospectives, Backlog Grooming, A/B
Testing, Jira, Figma, Tableau.

SKILLS
Backend: Python, FastAPI, Flask
Async: asyncio
Databases: PostgreSQL, MongoDB, MySQL
Messaging: RabbitMQ, Redis
DevOps: Docker, GitHub Actions, Terraform
Testing: Pytest, Unittest

LANGUAGES
English - Upper-Intermediate (B2) Ukrainian - Fluent

PERSONAL PROJECTS
Adexion (SaaS Platform) – www.adexion.com.ua
SaaS solution with a desktop client designed to automate polygraph exam.
Designed and built a SaaS platform for automating polygraph exams, including backend services, desktop
client, deployment infrastructure, and CI/CD pipelines.
• Tech stack: Python, Flask, PostgreSQL, Docker/Docker Compose, PyQt6, Nuitka, pytest, uv, Hetzner, GitHub
Actions, asyncio.

LegalDocsRemote (Telegram Bot) – www.legaldocsremote.online
Centralized customer communication and management system in telegram.
• Designed and built an independent SaaS product from scratch, handling the entire lifecycle: from product
concept and backend architecture to deployment and maintenance.
• Tech stack: Python, aiogram 3, PostgreSQL, Docker/Docker Compose, AWS EC2, Terraform, Nginx, GitHub
Actions.

COURSES
DevOps Fundamentals Dec 2025

AWS Cloud Practitioner Dec 2023

EDUCATION
Master's degree Jan 2009 - Dec 2014
West Ukrainian National University, Faculty of Information Technology, Ternopil