About Me
Hi, I’m Peter Rigali — a data engineer/consultant with a strong focus on Python, data pipelines, and cloud infrastructure.
I spend a lot of time working with:
- Python (automation, data processing, utilities)
- Tooling and workflows that make development more reliable
This site is where I document things I’ve learned, patterns I use frequently, and solutions to problems I don’t want to re-solve twice.
What You’ll Find Here
- Small utilities and scripts
- Design notes and architecture examples
- Experiments and proofs of concept
Some content is polished, some is intentionally rough — the emphasis is usefulness over perfection.
AI-Augmented Development
I use AI coding agents as a development accelerator to speed up execution. I provide the direction, domain expertise, and quality control while the AI handles boilerplate, debugging loops, and repetitive operations.
How I use it:
- Data engineering — ETL pipelines, API integrations, data lake organization
- Web scraping — Building and maintaining scrapers with structured output
- Analysis — Exploratory data analysis, statistical modeling, report generation
- DevOps — Repo management, CI/CD workflows, environment configuration
- Documentation — Summarizing code and publishing write-ups to this site
What makes it work:
- A persistent environment configuration ensures every new AI session inherits my coding standards, file conventions, and project rules
- Reusable workflows codify repetitive tasks so the AI follows consistent patterns across projects
- I maintain a centralized data lake architecture that the AI operates within — it doesn’t decide where data goes, I do
Contact / Links
- LinkedIn: https://www.linkedin.com/in/peterrigali/
- GitHub: https://github.com/pjrigali
If something here helps you or sparks an idea, feel free to adapt it for your own use.
TODO
- Resize photo
Last Updated: 2026-02-15