This is my Data Engineering portfolio, a growing space where I intend showcase projects that reflect both my technical rigor and curiosity.
Projects here are designed to be clear, reproducible, and practical, with new additions planned as my work expands.
Currently featured:
- 🌀 ingest-python, an ingest pipeline for small datasets built for maintainability and reproducibility.
- 📦 cnxns, a Python library (available on PyPI) that abstracts and simplifies working with diverse data sources.
- 🔧 assets, a suite of ready‑to‑run container images for testing, prototyping, and integration workflows.
This portfolio will continue to evolve as I add new projects, but the foundations here are stable and intended to demonstrate both my engineering approach and my commitment to scalable, maintainable solutions.
For my more casual tinkering and experiments, visit my personal GitHub profile.