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MECHISLAV YASTREMSKYI
Python Developer

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SUMMARY
Accomplished Python Developer with over 3 years of hands-on experience architecting and delivering robust,
data-centric backend solutions. Proven expertise in designing scalable data pipelines, RESTful APIs, and
automation frameworks that drive operational efficiency and business impact. Familiar with Clean
Architecture and Domain-Driven Design, implementing well-layered repository and service patterns to
ensure maintainability and testability. Experienced in backend development using modern frameworks and
tools (e.g., FastAPI, Flask, SQLAlchemy, PostgreSQL, MongoDB, Redis, Celery, Docker), integrating external APIs
and embedding-based semantic search to drive actionable insights. Adept at implementing asynchronous
task queues, containerized deployments and CI/CD pipelines. Skilled at collaborating with cross-functional
teams to translate business requirements into well-documented, high-performance code aligned with
strategic goals.

TECHNICAL SKILLS WORK EXPERIENCE
Python 2024 Bol Van Helen B.V.
FastApi – Python Developer
Designed and implemented scalable data pipelines to capture,
Flask
clean, and transform large volumes of web data, ensuring data
Django/DRF
integrity and reducing processing latency.
Scrapry
Automated competitor data collection, reducing market analysis
Playwright time by 30%.
SQL(PostgreSQL, MySQL) Built and deployed a pricing analytics service, enabling efficient
NoSQL(MongoDB, Redis) price comparison and decision-making.
Developed a RESTful API using FastAPI to integrate with external
Celery
systems and internal services.
Docker
Architected the backend using DDD principles, separating repository
Pandas (SQLAlchemy, MongoDB) and service layers to decouple business
Numpy logic from infrastructure.
AWS Integrated external APIs using reusable client modules, normalized
inconsistent response schemas, and implemented robust retry logic

EDUCATION with exponential backoff.

Scientific collaborator, 2022 UVOCORP
research engineer - Python Developer
2023 Built and deployed a Flask-based REST API to extract, preprocess,
NAU, Kiev
and embed large text corpora, supporting downstream semantic
2008 - 2013 search capabilities.
Integrated LangChain for text embedding and stored generated
LANGUAGE embeddings.
English Performed data analysis, image processing, and machine learning
Ukrainian tasks using Python libraries.
Russian
Engaged in data preprocessing, feature engineering, and model
Polish
training.