https://isaacneibaur.com/tags/python/PythonHugoBlox Kit (https://hugoblox.com)en-usTue, 05 May 2026 00:00:00 +0000https://isaacneibaur.com/media/icon_hu_fb558a5ed99f547e.pnghttps://isaacneibaur.com/tags/python/https://isaacneibaur.com/projects/cloudflare-governance-platform/Tue, 05 May 2026 00:00:00 +0000https://isaacneibaur.com/projects/cloudflare-governance-platform/<p>Cloud automation project for auditing Cloudflare domain security posture and managing repeatable governance workflows through code.</p> <p>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.</p> <div class="project-action-row"> <a class="project-action" href="https://github.com/neibaur/cloudflare_IaC" target="_blank" rel="noopener">View GitHub Repository</a> </div> <div class="project-tech-list"> <span>Python</span> <span>Terraform</span> <span>GitHub Actions</span> <span>Cloudflare API</span> <span>Infrastructure as Code</span> <span>DevSecOps</span> <span>Secret Management</span> <span>Scheduled Audits</span> </div> <p>Current focus areas:</p> <ul> <li>Cloudflare security posture audits using Python and the Cloudflare API</li> <li>Terraform workflows for repeatable Infrastructure as Code validation</li> <li>GitHub Actions pipelines for scheduled audits and CI checks</li> <li>Secure secret handling for automation workflows</li> <li>Optional remediation workflows for configuration drift correction</li> <li>DevSecOps practices including Dependabot, CodeQL, branch protection, linting, and test checks</li> </ul> <p>Design notes:</p> <ul> <li>Audit workflows run automatically, while remediation remains intentionally gated.</li> <li>Terraform and Python separate declarative infrastructure validation from API-driven audit logic.</li> <li>Secrets and real configuration inputs stay out of mock validation paths.</li> <li>CodeQL, Dependabot, Gitleaks, and branch protection support repository governance and operational reliability.</li> </ul>https://isaacneibaur.com/projects/nhtsa-recall-intelligence/Sun, 03 May 2026 00:00:00 +0000https://isaacneibaur.com/projects/nhtsa-recall-intelligence/<p>API-driven vehicle safety data project focused on turning NHTSA public recall data into repeatable, dashboard-ready analytical outputs.</p> <p>The project is scoped around practical data engineering work: ingesting recall records from the public API, shaping them into medallion-style analytical tables, and preparing relational outputs for trend, manufacturer, component, and campaign-level reporting.</p> <div class="project-action-row"> <a class="project-action" href="https://github.com/neibaur/portfolio-NHTSA" target="_blank" rel="noopener">View GitHub Repository</a> </div> <div class="project-tech-list"> <span>Python</span> <span>NHTSA API</span> <span>PostgreSQL</span> <span>Supabase</span> <span>ETL</span> <span>Medallion Modeling</span> <span>Power BI</span> <span>Data Engineering</span> </div> <p>Current focus areas:</p> <ul> <li>NHTSA public recall API ingestion</li> <li>Repeatable cleaning and normalization of recall records</li> <li>Medallion-style modeling for analytical datasets</li> <li>PostgreSQL/Supabase-ready relational structures</li> <li>Dashboard-ready outputs for recall, manufacturer, component, and campaign analysis</li> <li>Documentation of data design decisions during the 100DayDash challenge</li> </ul> <p>Design notes:</p> <ul> <li>API ingestion and transformation are separated so raw records can be preserved while modeled tables evolve.</li> <li>Medallion-style layers provide a clear path from raw recall data to curated analytical outputs.</li> <li>Relational structures support dashboard tools without locking the project to one BI platform.</li> <li>Documentation captures tradeoffs and implementation decisions as the project matures.</li> </ul>