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.
- Concurrency vs Parallelism in Python: What Really Matters— Python • Jeferson Peter
Concurrency and parallelism are often confused, but they solve different problems. Understanding the distinction helps you choose the right model in Python: async, threads, or processes.
- Project Layout in Python: Why the `src/` Structure Matters— Python • Jeferson Peter
Many Python projects start with files in the root directory. The `src/` layout may feel unnecessary at first, but it prevents subtle import bugs and prepares your project for packaging and testing.