100DayDash Engineering Blog
Public engineering documentation project showing how cloud automation, DevSecOps, data platforms, and dashboard systems evolve through iterative delivery.
100DayDash documents independent engineering work across cloud infrastructure, CI/CD, DevSecOps, observability, API-driven data workflows, and dashboard development. The site also serves as a public record of design decisions, implementation tradeoffs, and repeatable delivery patterns.
Current focus areas:
- Public documentation of engineering decisions, tradeoffs, and implementation lessons
- Cloud automation and Infrastructure as Code project notes
- DevSecOps workflow documentation for CI/CD, repository governance, and secret scanning
- Dashboard engineering with Power BI, Looker Studio, Hugo, Astro, and Python-based visualization
- Data platform development using APIs, PostgreSQL/Supabase patterns, and modeled analytical outputs
Design notes:
- Posts emphasize design decisions and operational tradeoffs, not only finished screenshots.
- The project documents reusable delivery patterns across cloud automation, data engineering, and dashboard development.
- The blog acts as a public accountability system for sustained engineering practice.
- The site is also a working example of static-site delivery, CI/CD, and content governance.
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.