Backbase/stream-services
Jan 2026 – Jan 2026
1 Month active
Languages Used
Java
Technical Skills
JavaMappingSpring FrameworkUnit Testingbackend developmentmocking
phandinhthe
PROFILE
Phandinhthe
Phan Dinh The worked on the Backbase/stream-services repository, focusing on enhancing the mapping and ingestion process for the ValidThru field in product data. He implemented custom mapping logic within the ProductMapper and integrated it into both ProductIngestionSaga and BatchProductIngestionSaga, enabling a more reliable end-to-end mapping flow. Using Java and the Spring Framework, he expanded unit test coverage to include new conversion scenarios and improved the maintainability of the test suite by cleaning up unnecessary mocks. This work addressed data quality issues by ensuring accurate validity windows, reducing mapping errors, and supporting customizable conversion paths in backend development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
106
Activity Months1
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34 peopleShared Repositories
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Oleksandra IshchukMember
Anastasiia UrupaMember
Daniel Chiuratto SeabraMember
Denis KhodzytskiyMember
Denys KhodzytskyiMember
Denys OsetrovMember
Work History
January 2026
4 Commits • 1 Features
Jan 1, 2026Month 2026-01 — Backbase/stream-services: Product ValidThru Field Mapping Enhancements. Implemented enhanced mapping and conversion for the ValidThru field in ProductMapper, with custom mapping logic and injection into ProductIngestionSaga and BatchProductIngestionSaga. Expanded test coverage and cleaned mocks. This work improves data quality and end-to-end ingestion reliability for product data, enabling more accurate validity windows downstream and reducing mapping errors in production.
4 Commits • 1 Features
Jan 1, 2026Month 2026-01 — Backbase/stream-services: Product ValidThru Field Mapping Enhancements. Implemented enhanced mapping and conversion for the ValidThru field in ProductMapper, with custom mapping logic and injection into ProductIngestionSaga and BatchProductIngestionSaga. Expanded test coverage and cleaned mocks. This work improves data quality and end-to-end ingestion reliability for product data, enabling more accurate validity windows downstream and reducing mapping errors in production.
January 2026
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Quality Metrics
Correctness95.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
JavaMappingSpring FrameworkUnit Testingbackend developmentmockingtest-driven developmentunit testing
Repositories Contributed To
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