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Yang Yang

PROFILE

Yang Yang

Yanyang contributed to the linkedin/datahub-gma repository by enhancing backend reliability and data modeling flexibility. Over two months, Yanyang implemented robust 404 error handling for asset retrieval, introducing pre-fetch existence checks to ensure the API returns accurate responses for non-existent assets. This approach improved error handling and reduced support overhead. Additionally, Yanyang broadened relationship schema validation by removing restrictive rules, enabling support for a wider range of primitive types in relationship fields and streamlining downstream data integration. The work demonstrated strong backend development skills in Java, with a focus on API development, data validation, and comprehensive test coverage for edge cases.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

2Total
Bugs
1
Commits
2
Features
1
Lines of code
25
Activity Months2

Work History

May 2025

1 Commits • 1 Features

May 1, 2025

May 2025: Delivered a targeted enhancement in linkedin/datahub-gma to broaden relationship schema validation, enabling a wider set of primitive types in relationship fields by removing a restrictive validation rule. This reduces schema friction for downstream consumers and accelerates data modeling workflows. The change is implemented via commit b03c43dd5615d112e27f45d78e3cd913799946c2 (remove relationship field type validation (#532)).

November 2024

1 Commits

Nov 1, 2024

November 2024 focused on improving asset retrieval reliability in linkedin/datahub-gma. Delivered robust 404 handling for non-existent assets by pre-checking asset existence before fetching aspects, and added tests to validate behavior. The change is captured in commit 6623691041147ebcb1c121fa6a4669d33d5a08de with message 'throw 404 exception when get non-existing asset (#480)'. This reduces misleading responses, decreases support overhead, and improves API correctness. Demonstrated backend robustness, test coverage, and strong attention to edge cases.

Activity

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Quality Metrics

Correctness80.0%
Maintainability90.0%
Architecture70.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Java

Technical Skills

API DevelopmentBackend DevelopmentData ValidationError Handling

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

linkedin/datahub-gma

Nov 2024 May 2025
2 Months active

Languages Used

Java

Technical Skills

API DevelopmentBackend DevelopmentError HandlingData Validation

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