Developed channel-based schema error reporting for the mozilla/looker-spoke-default repository, introducing a new dimension to schema error counts that enables more granular tracking and attribution by channel. Leveraged SQL for data analysis and schema design to enhance observability, allowing teams to monitor schema errors at the channel level and respond more efficiently to issues. The work included explicit commit-based changes that improved traceability and collaboration within the repository. By adding channel information to the Platform Health Check schema error, the solution provided business value through faster triage and more targeted remediation, supporting better platform health monitoring and operational responsiveness.