Álvaro Justen is a founder and free/libre software developer based in São Paulo with 14 years of experience building backend systems, data pipelines, and developer-focused tools primarily in Python. He combines systems administration, automation (Bash, Arduino) and data engineering to deliver reliable data ingestion and transformation—contributions include core backend work for brasil.io and tooling for Brazilian company and COVID datasets. A long-time teacher and organizer, he runs Pythonic Café and Arduino courses, blending hands-on electronics with software teaching. Álvaro is an active open-source hacker known for pragmatic data tooling (rows, socios-brasil) and for improving data quality and ingestion workflows at scale. He also brings operational rigor from roles in remote-work adoption and infrastructure optimization, plus an unexpected side interest in hypnosis and coffee roasting that informs his remote-teaching style.
14 years of coding experience
8 years of employment as a software developer
Colégio Ruy Barbosa
Student, Telecommunications Engineering, Student, Telecommunications Engineering at Universidade Federal Fluminense
A common, beautiful interface to tabular data, no matter the format
Role in this project:
Back-end Developer
Contributions:7 releases, 894 commits, 54 PRs in 8 years 10 months
Contributions summary:Álvaro primarily contributed to the development of the rows library, focusing on expanding its capabilities for handling tabular data. They added a missing plugin module, implemented the conversion of data types within the importing process, and introduced a method to rename fields. Additionally, the user refactored and enhanced existing plugins and implemented various functions to improve data manipulation.
Captura os dados de sócios das empresas brasileiras na Receita Federal e exporta para um formato legível por humanos
Role in this project:
Back-end Developer & Data Engineer
Contributions:105 commits, 10 PRs, 77 pushes in 5 years
Contributions summary:Álvaro primarily focused on enhancing the data processing and transformation capabilities of the repository. Their contributions included adding features to merge data from different sources, converting data to SQLite for easier querying, and correcting data inconsistencies. They also implemented changes to improve data ingestion and processing. The user demonstrated expertise in Python and CSV manipulation, particularly related to handling and structuring Brazilian company data.
dadosporreceitareceita-federalopendata
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.