Yevhem

Yevhen Mykytsei
Python Backend Developer & Data Engineer

Phone: [відкрити контакти](див. вище в блоці «контактна інформація»)

Email: [відкрити контакти](див. вище в блоці «контактна інформація»)

Location: Wrocław, Poland (Open to Remote)

Telegram: https://t.me/skeletronus

GitHub: https://github.com/skeletronys

LinkedIn: [відкрити контакти](див. вище в блоці «контактна інформація»)

Tech Stack & Skills
Languages: Python 3.10+, SQL
Frameworks: FastAPI, Django 4+, Django ORM, DRF
Databases: PostgreSQL, SQLite
Data Engineering Tools: Airflow, DBT, Kafka
Cloud: AWS (S3, Athena)
Infrastructure: Terraform, Terragrunt
Tools & Concepts: Git, GitHub, GitLab, Pytest, Docker (basic), Uvicorn, Gunicorn
Celery, Redis, REST, TDD, OOP, SOLID, DRY, Agile (Scrum, Kanban), Jira, HTTP, HTTPS,
TCP/UDP, CI/CD, ETL/ELT, DWH, Data Lake, DWH, Apache Spark
Integrations: Stripe, PayPal, Telegram API, WebRTC (aiortc), SendGrid, PyJWT
Other: HTML/CSS, Bootstrap, Pandas

Summary
Python backend and data engineer with commercial experience in building scalable services and
data pipelines. Skilled in FastAPI, Django ORM, and SQL optimization, as well as Airflow, DBT, and
AWS for data engineering tasks.
Key optimizations delivered:
• Backend: Migrated legacy password encryption system to secure Django ORM
implementation, improving security by 3x and reducing authentication vulnerabilities
• Data Engineering: Optimized DBT resource allocation and implemented lifecycle
management, reducing pipeline execution time by 40% and cutting AWS costs by 25%
Fast learner and highly adaptable, with ability to quickly master new technologies and frameworks.
Actively seeks feedback, embraces constructive criticism, and continuously improves code quality
and architectural decisions. Integrated payment systems (Stripe, PayPal), real-time communication
(WebRTC), and enhanced ETL processes for better performance and data quality. Experienced in
both independent problem-solving and collaborative agile team environments.
Experience
Backend Developer — Startup (10 employees) Dec 2024 – June 2025
• Developed Celery workers for async background tasks (license validation, usage tracking)
• Implemented real-time video chat with WebRTC (aiortc + aioice)
• Contributed to legacy codebase modernization with comprehensive testing and validation
• Designed and optimized scalable PostgreSQL schema with efficient indexing, supporting
smooth concurrent operations
• Enhanced password security system by implementing modern encryption methods,
significantly reducing security vulnerabilities
• Created reusable email notification system with SendGrid
• Participated in team Agile development and CI/CD pipelines
Data Engineer Intern / Junior — Growe (1000+ employees, Poland) July 2025 – Oct 2025
• Worked with AWS (S3, Athena), Airflow DAGs, and DBT to manage data pipelines
• Improved ETL process efficiency by optimizing SQL queries, reducing data processing time by
20%
• Implemented automated data validation checks, improving data quality scores by 20% and
reducing manual error detection time
• Optimized DBT models resource usage and introduced lifecycle management
• Collaborated with team using GitLab, Jira, and Agile workflow
• Hands-on experience with Terraform/Terragrunt for infrastructure as code
Pet Projects (Short Summary)
Airport API (Django + Swagger): Booking and flight schedule API
GitHub: https://github.com/skeletronys/Py-Airport-API-Service/tree/develop
AI Assistant Telegram Bot (FastAPI + LangChain + Redis): Contextual Telegram chatbot with
knowledge base search
GitHub: https://github.com/skeletronys/Test-task-with-AI-and-Telegram/tree/dev_version_2
Education
• Python Backend Developer Program – Mate Academy
• Udemy Courses
Achievements
• Delivered two complete production projects as core backend developer
• Integrated Stripe, PayPal, and Telegram into working business services
• Designed stable, performant database layer optimized for concurrent access
• Transitioned from junior to independent contributor within 6 months
• Consistently received positive feedback for adaptability and rapid skill acquisition
Languages
• English: Intermediate
• Ukrainian: Native