Daniel Graña
Platform Product Engineer
La Paloma, Rocha, Uruguay
Summary
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Top expert inPython Development Ecosystem
Daniel Graña is a seasoned platform product engineer with 18 years building scalable web scraping, data-mining and cloud-native systems, currently contributing to Fly.io's core engine. He blends deep hands-on expertise in Python, Scrapy, Twisted and Django with operational chops across AWS, CI/CD and distributed systems, and has led infrastructure and engineering teams at Zyte and Flinks. His open-source contributions to prominent projects like Scrapy, ParSel and flyctl show a focus on hardening selector logic, media pipelines and release automation that improve reliability for large-scale crawlers. Early experience in embedded and industrial automation informs his pragmatic approach to systems integration and protocol-driven architectures. Comfortable across backend, DevOps and product domains, he’s as likely to refactor a deployment pipeline as to prototype an off-grid IoT controller. Based in Uruguay, he pairs production-grade engineering with a knack for automating releases and test-driven development.
18 years of coding experience
18 years of employment as a software developer
Associate of Science (AS), Telecommunications Engineering, Associate of Science (AS), Telecommunications Engineering at Universidad ORT Uruguay
English, Spanish
Stackoverflow
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Github Skills (37)
docker10
webscraper10
python10
tox10
testing10
scrape10
css10
command-line-interface10
scraper10
fly10
travis-ci10
io10
webscraping10
dockers10
cicd10
Programming languages (15)
Github contributions (5)
scrapy/scrapy
Jun 2008 - Mar 2020
Scrapy, a fast high-level web crawling & scraping framework for Python.
Role in this project:
Backend Developer
Backend DeveloperContributions:3 releases, 1290 commits, 267 PRs in 11 years 11 months
Contributions summary:Daniel's commits primarily focused on modifying and refactoring code within the Scrapy framework, a Python-based web scraping framework. These changes included moving module imports, showing the cached or live status of crawled pages, processing items using generators for efficient pipeline consumption, and implementing a media pipeline skeleton for handling media downloads. Additionally, the user contributed to adding features such as the media_to_download hook and fixing bugs related to the pipeline, demonstrating a strong understanding of the framework's internal workings.
pythonscrapyscraping-frameworkhigh-levelweb-crawling
scrapy/parsel
May 2009 - Sep 2019
Parsel lets you extract data from XML/HTML documents using XPath or CSS selectors
Role in this project:Back-end Developer
Back-end DeveloperContributions:51 commits, 17 PRs, 16 pushes in 10 years 6 months
Contributions summary:Daniel primarily contributed to improving the `parsel` library's XPath and CSS selector functionality. Their work focused on addressing inconsistencies and bugs related to handling Unicode characters, empty or null byte-containing bodies, and boolean results within the lxml selector backend. Furthermore, the user made improvements to improve the correct replacement of character entities for regular expressions. These changes enhance the reliability and robustness of data extraction using selectors in the Scrapy framework.
html-documentspythonselectorsparselcss
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