Oleh

Oleh
Dziuba
Backend Developer

CONTACT ABOUT ME

Python Backend Developer with 5 years of experience designing and
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developing scalable backend applications and APIs. Skilled in Python, FastAPI,
Prague, Czech Republic PostgreSQL, asynchronous programming, event-driven systems, DDD, and
Clean Architecture. Experienced with JavaScript, TypeScript, and NestJS for
LinkedIn Profile building backend services and integrations. Strong background in automation
solutions, database optimization, and developing reliable distributed systems.
Telegram Account

EDUCATION WORK EXPERIENCE

2021 -2026
2021 - 2024
KYIV POLYTECHNIC Ryzum
INSTITUTE Backend Developer
Bachelor of Computer Designed and developed 20+ REST and GraphQL APIs from scratch
Engineering using Python, FastAPI, NestJs, PostgreSQL, and asynchronous
programming, delivering scalable backend solutions for production
systems.
SKILLS Built an email processing platform integrated with SendGrid API,
handling 1,500+ daily email messages (1,000+ outbound and 500+
inbound) with automated delivery workflows, tracking, and message
processing.
Languages Frameworks Developed an event-driven booking orchestration system using
Python FastAPI asynchronous processing and message-based communication,
JavaScript NestJS automating 150+ daily reservations across 10 third-party travel
TypeScript Pydantic operator systems with improved scalability, fault tolerance, and
SQL SQLAlchemy operational efficiency.
Refactored a legacy backend system into a DDD-based architecture,
Databases DevOps introducing clear domain boundaries, application services, and
PostgreSQL Docker repository patterns, reducing feature development cycles by ~3x and
Redis Git improving system maintainability.
ElasticSearch Designed and implemented a Temporal-based workflow
Linux
ScyllaDB orchestration system for automated manager operations, supporting
configurable delayed actions and long-running business workflows
Architecture Messaging with reliable execution and failure handling.
Microservices Kafka Designed and optimized PostgreSQL data models and complex SQL
Clean RabbitMQ queries for datasets containing 1M+ records, applying indexing
Architecture strategies and query optimization techniques that reduced query

DDD execution time by up to 70%.

SOLID
Async
Programming