
Carlos Quintero developed and maintained production-grade documentation for the Automy Data Analytics Power Query connector in the MicrosoftDocs/powerquery-docs repository. He focused on enhancing onboarding and usability by updating Markdown-based docs to reflect new features such as additional tables and optional date-range filtering, aligning documentation with the connector’s General Availability release. Carlos addressed metadata issues to ensure accurate author attribution and removed outdated Beta tags, improving branding consistency. He incorporated feedback from pull requests to maintain accuracy and traceability, demonstrating strong skills in documentation engineering and release management. His work reduced support friction and accelerated customer adoption through clearer technical content.

December 2024: Delivered GA-release documentation refresh for Automy Data Analytics Connector in MicrosoftDocs/powerquery-docs. Removed Beta tagging and corrected author/branding to reflect GA state. Addressed PR comments to ensure accuracy and consistency. All changes are traceable to commits 268d6f47385641e09e8f4e8ea029c991e127c3a5 and 4983daaa62d727496dfd43db37f62dd56928b03f. Result: clearer, branding-consistent docs that support faster customer onboarding and reduce support questions.
December 2024: Delivered GA-release documentation refresh for Automy Data Analytics Connector in MicrosoftDocs/powerquery-docs. Removed Beta tagging and corrected author/branding to reflect GA state. Addressed PR comments to ensure accuracy and consistency. All changes are traceable to commits 268d6f47385641e09e8f4e8ea029c991e127c3a5 and 4983daaa62d727496dfd43db37f62dd56928b03f. Result: clearer, branding-consistent docs that support faster customer onboarding and reduce support questions.
Month: 2024-11. Focused on delivering production-grade documentation for the Automy Data Analytics Power Query connector and correcting metadata to ensure attribution. Key outcomes include a production-release update of the connector docs with new tables and date-range filtering to enhance usability, along with metadata fixes that improve author attribution. These efforts improve onboarding, reduce support friction, and demonstrate strong documentation engineering and release-management skills.
Month: 2024-11. Focused on delivering production-grade documentation for the Automy Data Analytics Power Query connector and correcting metadata to ensure attribution. Key outcomes include a production-release update of the connector docs with new tables and date-range filtering to enhance usability, along with metadata fixes that improve author attribution. These efforts improve onboarding, reduce support friction, and demonstrate strong documentation engineering and release-management skills.
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