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Raymond Guo

PROFILE

Raymond Guo

Worked on the databricks/terraform-provider-databricks repository to enhance stability during API deprecation by implementing a fallback mechanism for the data_source_id field. Addressed a critical bug where API failures previously caused crashes in databricks_sql_warehouse and databricks_sql_endpoint resources, ensuring these now return an empty string instead. This approach maintained compatibility with deprecated APIs, reducing customer downtime and manual intervention in automation pipelines. Utilized Go and the Terraform Plugin Framework to develop and validate the solution, incorporating unit tests and updating documentation and changelogs. Demonstrated disciplined engineering practices in API integration, resilience engineering, and CI-aligned validation throughout the development process.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

1Total
Bugs
1
Commits
1
Features
0
Lines of code
137
Activity Months1

Work History

January 2026

1 Commits

Jan 1, 2026

January 2026 summary: Stabilized the Databricks Terraform provider in the face of API deprecation by implementing a resilient fallback for data_source_id. The fix ensures that databricks_sql_warehouse and databricks_sql_endpoint return an empty string when the data source API call fails, preventing breakages during API deprecation and future removals. The change enhances reliability for customer automation and CI pipelines that rely on Terraform configurations. Key outcomes: - Key features delivered: fallback for data_source_id on API failure for two resources; avoids provider breakage due to deprecated API. - Major bugs fixed: API failure path no longer propagates as a crash; data_source_id gracefully defaults to empty string. - Tests and validation: unit tests using Go SDK and TF Plugin Framework; local make test; docs updated; NEXT_CHANGELOG.md entry. - Documentation and awareness: updated docs/ to reflect behavior; changelog prepared for release notes. Overall impact and accomplishments: - Maintains compatibility with deprecated API, reducing customer downtime and manual remediation. - Improves stability of databricks_sql_warehouse and databricks_sql_endpoint in automation pipelines. - Demonstrates strong resilience engineering by handling API deprecation gracefully while preserving existing workflows. Technologies/skills demonstrated: - Go SDK, Terraform Plugin Framework, unit testing, documentation discipline, changelog maintenance, and CI-aligned validation.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Go

Technical Skills

API IntegrationGoTerraform

Repositories Contributed To

1 repo

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

databricks/terraform-provider-databricks

Jan 2026 Jan 2026
1 Month active

Languages Used

Go

Technical Skills

API IntegrationGoTerraform