MicrosoftDocs/sql-docs
May 2025 – Nov 2025
4 Months active
Languages Used
MarkdownSQL
Technical Skills
DocumentationSQLdatabase managementdocumentation
jermyh-geneyx
PROFILE
Jermyh-geneyx
Jermy H. contributed to MicrosoftDocs/sql-docs by enhancing SQL Server documentation, focusing on accuracy and developer usability. Over four months, he delivered targeted improvements such as correcting SQL examples for Vector Search and JSON_QUERY, ensuring that documentation matched actual code and naming conventions. Using SQL and Markdown, Jermy clarified function references and compatibility level details, reducing user confusion and support overhead. His work demonstrated careful attention to detail and a methodical approach to documentation management, collaborating with the docs team to validate changes. These updates improved onboarding for developers and DBAs, supporting smoother upgrades and more reliable database management practices.
Overall Statistics
Feature vs Bugs
25%Features
Repository Contributions
4Total
Bugs
3
Commits
4
Features
1
Lines of code
7
Activity Months4
Your Network
170 people
Work History
November 2025
1 Commits
Nov 1, 2025November 2025: Documentation quality improvement in MicrosoftDocs/sql-docs. Implemented a precise correction for the JSON_QUERY usage example path (credit_cards) to align guidance with the actual API and data structures. Change implemented via commit 22336b60784a1ee440085f9d4e3056f53cde0325 (Update json-query-transact-sql.md (#10231)). Result: clearer guidance for developers, reduced risk of incorrect usage, and lowered potential support inquiries. This work reinforces trust in the docs suite and supports smoother developer onboarding.
1 Commits
Nov 1, 2025November 2025: Documentation quality improvement in MicrosoftDocs/sql-docs. Implemented a precise correction for the JSON_QUERY usage example path (credit_cards) to align guidance with the actual API and data structures. Change implemented via commit 22336b60784a1ee440085f9d4e3056f53cde0325 (Update json-query-transact-sql.md (#10231)). Result: clearer guidance for developers, reduced risk of incorrect usage, and lowered potential support inquiries. This work reinforces trust in the docs suite and supports smoother developer onboarding.
November 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Documentation enhancement for SQL Server compatibility level 170 in MicrosoftDocs/sql-docs. Focused on clarifying sys.databases behavior and the new compatibility_level column, with references to ALTER DATABASE compatibility level T-SQL. This work improves developer onboarding and DBAs' upgrade planning by ensuring the latest compatibility features are well-documented.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Documentation enhancement for SQL Server compatibility level 170 in MicrosoftDocs/sql-docs. Focused on clarifying sys.databases behavior and the new compatibility_level column, with references to ALTER DATABASE compatibility level T-SQL. This work improves developer onboarding and DBAs' upgrade planning by ensuring the latest compatibility features are well-documented.
June 2025
1 Commits
Jun 1, 2025June 2025: Focused on documentation quality for MicrosoftDocs/sql-docs, correcting Transact-SQL multi-statement table-valued function naming to align with code and conventions, and ensuring accurate code examples.
1 Commits
Jun 1, 2025June 2025: Focused on documentation quality for MicrosoftDocs/sql-docs, correcting Transact-SQL multi-statement table-valued function naming to align with code and conventions, and ensuring accurate code examples.
June 2025
May 2025
1 Commits
May 1, 2025May 2025 monthly summary for MicrosoftDocs/sql-docs: Delivered a high-value documentation fix for Vector Search, ensuring accurate SQL examples and improved developer experience. The change was implemented with a traceable commit and clear messaging, reinforcing documentation quality and reducing potential user confusion.
May 2025
1 Commits
May 1, 2025May 2025 monthly summary for MicrosoftDocs/sql-docs: Delivered a high-value documentation fix for Vector Search, ensuring accurate SQL examples and improved developer experience. The change was implemented with a traceable commit and clear messaging, reinforcing documentation quality and reducing potential user confusion.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownSQL
Technical Skills
DocumentationSQLdatabase managementdocumentation
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