
Arun Kumar Yogi developed and enhanced context storage capabilities across the Netcracker/qubership-integration-engine and runtime-catalog repositories, focusing on persistent cross-service data sharing with time-to-live semantics. He designed and implemented a Context Storage Service using Java, Spring Boot, and Apache Camel, integrating database repositories and scheduled cleanup for lifecycle management. Arun also introduced export and import functionality for context services, leveraging data serialization and deserialization to improve data portability and migration readiness. His work included targeted configuration and code refactoring, reducing complexity and improving maintainability. Throughout, Arun demonstrated depth in backend development, system integration, and robust API design practices.

September 2025: Delivered Context Services Export/Import support for the Netcracker/qubership-integration-runtime-catalog, enabling export/import of context services using the new DTOs, mappers, and service logic. Serialization/deserialization was integrated into the existing export-import framework, and controller/service layers were updated to expose the new functionality. This work advances data portability, interoperability, and migration readiness across environments.
September 2025: Delivered Context Services Export/Import support for the Netcracker/qubership-integration-runtime-catalog, enabling export/import of context services using the new DTOs, mappers, and service logic. Serialization/deserialization was integrated into the existing export-import framework, and controller/service layers were updated to expose the new functionality. This work advances data portability, interoperability, and migration readiness across environments.
In August 2025, two targeted, non-functional improvements focused on reducing configuration complexity and improving code maintainability across two repositories. These changes lower risk for future deployments and set the stage for faster, safer feature work.
In August 2025, two targeted, non-functional improvements focused on reducing configuration complexity and improving code maintainability across two repositories. These changes lower risk for future deployments and set the stage for faster, safer feature work.
July 2025: Delivered cross-repo context storage capabilities enabling persistent cross-service context sharing with TTL. Implemented a Context Storage Service across services in the integration engine (Camel processor, DB repository, scheduled TTL cleanup) and launched a Context Storage System (Context Data Management) in the runtime catalog with CRUD operations and enhanced export/import. No major bugs reported this month. Overall impact: improved data portability, consistency across components, and lifecycle management. Technologies/skills demonstrated: Java, Camel, repository patterns, scheduled tasks, TTL semantics, REST controllers, data export/import. Business value: reduced context loss, faster cross-service workflows, and easier data migration.
July 2025: Delivered cross-repo context storage capabilities enabling persistent cross-service context sharing with TTL. Implemented a Context Storage Service across services in the integration engine (Camel processor, DB repository, scheduled TTL cleanup) and launched a Context Storage System (Context Data Management) in the runtime catalog with CRUD operations and enhanced export/import. No major bugs reported this month. Overall impact: improved data portability, consistency across components, and lifecycle management. Technologies/skills demonstrated: Java, Camel, repository patterns, scheduled tasks, TTL semantics, REST controllers, data export/import. Business value: reduced context loss, faster cross-service workflows, and easier data migration.
Overview of all repositories you've contributed to across your timeline