Radostin Jbelyanov

• Delivered scalable travel technology solutions using Java, Go, TypeScript, and React, supporting high-volume transaction processing across globally distributed enterprise systems. • Refactored backend microservices architectures with REST APIs, Kafka messaging, and cloud- native patterns, improving service scalability by 40% and increasing system resilience. • Created automated data processing workflows using Apache Spark and Airflow, reducing manual data operations by 60% and improving reliability of large-scale data pipelines. • Integrated asynchronous communication models with Apache Kafka and distributed event processing, reducing workflow delays by 35% and improving real-time system synchronization. • Optimized cloud environments using AWS, Docker, and Kubernetes, lowering infrastructure management effort by 30% through automated deployment and resource management. • Enhanced frontend platforms with React.js, TypeScript, and reusable component architectures, accelerating feature development by 25% while improving maintainability.

• Developed enterprise document automation platforms using JavaScript, React.js, MongoDB, and PostgreSQL, supporting intelligent document processing workflows for business customers. • Built backend processing services handling 100K+ monthly documents, improving system reliability through optimized workflows and scalable application architecture. • Optimized database operations across MongoDB and PostgreSQL by redesigning queries and indexing strategies, reducing critical data retrieval time by 30%. • Created reusable React.js component frameworks and frontend architectures, improving development efficiency by 35% across product engineering teams. • Containerized application environments with Docker, standardizing development workflows across 5+ environments and improving deployment consistency. • Established automated testing and delivery pipelines through CI/CD practices, reducing release preparation time by 40% and increasing production confidence.