Jorge Leitao
Lisbon, Lisbon, Portugal
Summary
🤩
RockstarJorge Leitão is a data-focused engineer and entrepreneur with 12 years of experience blending scientific research, software engineering and product-minded management. He co-founded Munin Data and moves fluidly between hands-on Rust/Python back-end work—contributing to high-profile projects like Apache Arrow/DataFusion and performance-focused arrow-rs/arrow2—and strategic roles that align engineering with stakeholder goals. Trained as a physicist (PhD) and a former postdoc, he brings rigorous statistical and Monte Carlo expertise to real-world data challenges, including production-grade kernels and Parquet/FFI improvements. A member of the Apache Arrow PMC and an active open-source tester for libraries such as SHAP and Django, he pairs deep technical contributions with improved testing and CI practices. Recently sharpening management and sales skills while serving in local governance, he combines technical credibility with practical leadership and an uncommon knack for translating research-grade methods into durable, team-scalable solutions.
13 years of coding experience
Stackoverflow
19,493reputation
4.1mreached
126answers
111questions
ssl
top-1%
yaml
top-5%
python
top-5%
paramiko
top-5%
django
top-5%
data-structures
top-5%
Github Skills (55)
algorithms10
authorizations10
ssl10
python10
django10
data-engineering10
testing10
dataframes10
authentication10
user-authentication10
polar10
data-structure10
dataframe10
fusion10
apache-arrow10
Programming languages (21)
Github contributions (5)
jorgecarleitao/arrow2
Feb 2021 - Jan 2023
Transmute-free Rust library to work with the Arrow format
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 releases, 313 reviews, 2835 commits in 1 year 11 months
Contributions summary:Jorge's contributions centered on adding support for the MONTH_DAY_NANO interval type and fixing issues related to reading dictionary-encoded pages in Parquet. This involved modifying the codebase to handle the new interval type and resolve fallback behavior in handling plain page encodings. Additionally, the user improved the performance of bitwise operations and made significant changes to the FFI to ensure proper memory management and data type compatibility with the Arrow C stream interface.
rust
apache/arrow
Feb 2020 - Feb 2022
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Role in this project:Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:798 reviews, 189 commits, 392 PRs in 2 years
Contributions summary:Jorge made significant contributions to the Apache Arrow project, primarily focusing on enhancing the performance and functionality of data processing kernels. They implemented and optimized the `substring` kernel and expanded the capabilities of the `concat` function to support all data types supported by `MutableArrayData`, resulting in substantial speed improvements for string operations. They also addressed performance bottlenecks in arithmetic operations and made improvements to the `take` kernel, demonstrating a strong understanding of efficient data processing techniques and the internal workings of the Arrow project.
apache-arrowarrowparquet
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.