Cloudflare Governance & Remediation Platform
Cloud automation project for auditing Cloudflare domain security posture and managing repeatable governance workflows through code.
The system combines Python, Terraform, GitHub Actions, and the Cloudflare API to check configuration state, validate policy expectations, and optionally remediate drift. The work emphasizes Infrastructure as Code, scheduled audits, secure secret handling, automated validation, and repository governance patterns that support reliable cloud operations.
Current focus areas:
- Cloudflare security posture audits using Python and the Cloudflare API
- Terraform workflows for repeatable Infrastructure as Code validation
- GitHub Actions pipelines for scheduled audits and CI checks
- Secure secret handling for automation workflows
- Optional remediation workflows for configuration drift correction
- DevSecOps practices including Dependabot, CodeQL, branch protection, linting, and test checks
Design notes:
- Audit workflows run automatically, while remediation remains intentionally gated.
- Terraform and Python separate declarative infrastructure validation from API-driven audit logic.
- Secrets and real configuration inputs stay out of mock validation paths.
- CodeQL, Dependabot, Gitleaks, and branch protection support repository governance and operational reliability.
Software Engineer and Data Platform Developer with experience building cloud automation, analytics platforms, APIs, and operational data solutions. Skilled in Python, SQL, Terraform, GitHub Actions, Databricks, Kubernetes, and Power BI with a focus on automation, reliability, Infrastructure as Code, and scalable data workflows.
Combines enterprise operational leadership experience at General Motors with active independent engineering projects involving cloud infrastructure, CI/CD, DevSecOps, and dashboard engineering.