About
I’m a Python developer and data engineer focused on transforming raw data into reliable, high-performance systems.
With experience across ETL design, backend APIs, and data-driven web applications, I create tools that turn complexity into clarity — from Polars pipelines to full-stack solutions.
My work blends technical precision, scalability, and a genuine curiosity for how data can drive meaningful outcomes.
I’m motivated by technical challenges that require architectural clarity, engineering precision, and consistent execution. My main interests revolve around ETL pipelines, data APIs, and high-performance applications — areas where I can combine practical impact with continuous improvement and a disciplined engineering approach.
Highlights
Work values
- Clarity — simple structures and transparent reasoning.
- Reliability — consistent performance at scale.
- Efficiency — optimized results without unnecessary complexity.
Latest insights
I occasionally write about data architecture, engineering workflows, and real-world lessons.
Blog posts are currently available only in Portuguese and English.
- The Python Walrus Operator (`:=`): When to Use Assignment Expressions— Python • Jeferson Peter
Introduced in Python 3.8, the walrus operator (`:=`) allows assignment inside expressions. Used carefully, it reduces duplication and keeps related logic together without harming readability.
- venv vs uv: Choosing the Right Python Virtual Environment— Python • Jeferson Peter
Comparing `venv` and `uv` for managing Python virtual environments. Learn the differences, trade-offs, and when to choose each tool for your workflow.