Богдан

Bohdan Vykhovanets Golang Developer
CONTACTS Phone: [открыть контакты](см. выше в блоке «контактная информация»)
Email: [открыть контакты](см. выше в блоке «контактная информация»)
Linkedin
GitHub

SKILLS Golang (Gin), REST API, gRPC
SQL (PostgreSQL, MySQL, SQLite), NoSQL (MongoDB), AMQP (RabbitMQ), Redis,
Docker (Docker Compose), Kubernetes, Postman, Nginx, AWS
Git (Github), Jira, ClickUp
OOP, SOLID, Design Patterns, CI/CD, Cryptography

SUMMARY Junior Golang Developer with nearly a year of commercial experience in building
distributed backend systems. Proficient in designing REST APIs, managing databases
(SQL/NoSQL), and implementing asynchronous messaging with RabbitMQ.
Experienced in the Fintech/Blockchain domain, with a strong focus on writing clean,
testable code and working within containerized environments.

PROFESSIONAL Golang Developer | April 2025 - December 2025
EXPERIENCE Distributed Lab | Kyiv, Ukraine

Developed and maintained RESTful microservices using Golang (Gin), ensuring
strict adherence to REST standards and clean architecture principles.
Implemented asynchronous message processing pipelines using RabbitMQ,
decoupling services to improve system scalability and fault tolerance.
Designed efficient SQL queries for PostgreSQL and integrated MongoDB for
logging unstructured data; worked on database schema migrations and
optimization.
Applied Go concurrency patterns (Goroutines, Channels, WaitGroups) to handle
high-throughput data ingestion and background processing tasks.
Containerized services using Docker and wrote Makefiles to streamline local
development; assisted in setting up CI pipelines for automated testing.

PROJECTS USDC Transfer Listener Service (clickable)
A standalone microservice for real-time monitoring and storage of blockchain events.

Built a robust Go service to monitor Ethereum network transfers via third-party
APIs (Alchemy/Infura), ensuring 100% reliability in tracking USDC token movements.
Designed a synchronization algorithm to detect and fill data gaps caused by
network downtime or API rate limits, ensuring historical data integrity in
PostgreSQL.
Utilized worker pools to process incoming transaction blocks in parallel,
significantly reducing data ingestion lag.

EDUCATION Taras Shevchenko National University of Kyiv | 2023 - Now
Bachelor in Computer Science