data-engineering-skills

Azure DevOps automation — pipelines, work items, repos, PRs, wiki. Use when managing DevOps pipelines, tracking work items, or working with Azure Repos.

Azure resource management for data engineering — storage, Data Factory, Synapse, Key Vault, Entra, resource groups, cost analysis. Use when managing Azure infrastructure, querying resources, or troubleshooting deployments.

DAX query authoring, testing, and optimization for Power BI and Microsoft Fabric semantic models. Use when writing DAX measures, debugging calculations, querying semantic models, or optimizing DAX performance.

Systematic root-cause debugging — investigates before fixing, with a 3-strike circuit breaker. Use when asked to "debug", "find the bug", "why is this broken", "fix this error", or "troubleshoot".

GitHub workflow automation — PRs, issues, Actions, repo management. Use when working with GitHub pull requests, issues, CI/CD pipelines, or repository operations.