Vlad Plyska

Back-end Developer

Freelance • Freelance

Nov 2025 - Present • 6 mos

Currently working on the development of a high-performance trading platform designed to handle large volumes of real-time operations and data processing. The system requires highly reliable and low-latency backend services to support trading workflows, complex business logic, and continuous data synchronization. I contribute to the development of scalable backend components using Node.js and TypeScript, focusing on performance, reliability, and maintainability. A key part of the work involves designing and implementing custom backend solutions for complex trading logic and data processing pipelines. Due to the performance requirements of the platform, special attention is given to efficient database usage, system stability, and optimized backend architecture. The project also emphasizes strong engineering practices, including extensive automated testing and strict code quality standards. I actively contribute to maintaining a well-tested codebase through unit and integration tests, ensuring the stability of the platform as new features are introduced. My focus on this project is building high-performance backend services, maintaining scalable architecture, and ensuring reliable operation of a production system handling demanding workloads. Technologies: Node.js, TypeScript, PostgreSQL, High-Load Systems, Automated Testing, Scalable Backend Architecture.

Senior Back-end Developer

Kultprosvet • Full-time

Jul 2024 - Nov 2025 • 1 yr 4 mos

Worked on the development of a data analytics platform for Amazon sellers, designed to collect and process large volumes of marketing and advertising data for a US-based client. The system aggregated data from multiple Amazon services and external APIs to provide real-time marketing insights and performance analytics. The backend was built as a microservices architecture, responsible for collecting, processing, and storing millions of records daily. I developed backend services using Node.js and PostgreSQL, building data pipelines that handled high-volume ingestion and processing of Amazon data. The system processed millions of records per day, requiring careful database design and performance optimization to maintain reliability and efficiency. A key contribution was implementing a custom data extraction solution for Amazon APIs, which allowed the client to avoid expensive third-party solutions and significantly reduce operational costs. I also improved development processes within the team by introducing automated testing practices and stronger code review standards, which helped increase overall code quality and system stability. The infrastructure relied on AWS cloud services, and I also worked with automation tools such as n8n to orchestrate integrations and workflows between external services. My focus was building scalable backend services, reliable data processing pipelines, and cost-efficient integrations with external APIs. Technologies: Node.js, NestJS, PostgreSQL, Microservices, AWS, n8n, REST APIs, Data Processing, Automated Testing.

Back-End Developer

S-PRO • Full-time

Feb 2024 - Jul 2024 • 5 mos

Developed backend systems for digital health and fitness products, including a running mobile application with wearable integrations and a healthcare services platform. Built scalable backend services using Node.js, TypeScript, and NestJS, powering a mobile application used for tracking workouts and synchronizing fitness data across devices. Implemented integrations with Apple Watch and Garmin, enabling reliable synchronization of activity metrics and workout data between wearable devices and the mobile platform. Also contributed to the development of a healthcare services system used to manage medical records, product recommendations, and service workflows. Implemented backend logic and third-party integrations supporting user management, recommendations, and transactional operations. Designed and optimized the data layer using PostgreSQL and TypeORM, ensuring efficient data processing and reliable storage. The system was deployed on AWS infrastructure, supporting scalable and production-ready services. Focused on building stable backend architecture, reliable integrations, and scalable APIs that support real-world mobile and healthcare applications. Technologies: Node.js, TypeScript, NestJS, PostgreSQL, TypeORM, AWS, REST API, Apple Watch Integration, Garmin API.