Julia Medina
Technical Team Lead at Zyte
Cordoba, Córdoba, Argentina
Summary
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Julia Medina is a Technical Team Lead with 14 years of experience building and operating large-scale web scraping and data delivery systems from Cordoba, Argentina. At Zyte she led delivery for clients like Netflix and Bitedge, owning full-stack stacks that span Python, Scrapy, Flask, Docker, AWS, and databases while also implementing monitoring, KPIs, and developer performance processes. A long-time core contributor and maintainer to the widely used Scrapy project, she has shipped protocol workarounds, form-handling features, tests and substantial documentation that improved the framework’s usability. She pairs hands-on engineering—refactoring codebases, building diff-driven QA notebooks, and solving anti-bot challenges—with team mentorship, stakeholder communication and on-call escalation. Known for turning complex scraping and data-change tracking problems into reliable pipelines, she also brings applied research experience in GPU-accelerated computer vision from a NASA-affiliated project.
15 years of coding experience
5 years of employment as a software developer
FaMAF - Licentiate degree, Computer Science, 9.3, FaMAF - Licentiate degree, Computer Science, 9.3 at Universidad Nacional de Córdoba
English, Spanish
Stackoverflow
81reputation
4kreached
3answers
0questions
Github Skills (17)
python10
testing10
scrapy10
documentation10
webscraper9
scrape9
application-framework9
crawling9
webscraping9
app-framework9
data-scraping9
crawler9
web-framework9
http-request8
webrequest8
Programming languages (3)
Github contributions (5)
scrapy/scrapy
Mar 2014 - Feb 2016
Scrapy, a fast high-level web crawling & scraping framework for Python.
Role in this project:
Back-end Developer & Technical Writer
Back-end Developer & Technical WriterContributions:231 commits, 68 PRs, 57 pushes in 1 year 11 months
Contributions summary:Julia primarily contributed to the Scrapy framework by implementing features related to form request handling and documentation improvements. They introduced and tested the `clickdata` parameter for `FormRequest.from_response`, enabling more flexible form submission. Additionally, the user made significant enhancements to the documentation, clarifying API usage and providing detailed explanations of new features and settings. They also implemented tests for downloader handlers.
crawlingpythonscrapyscrapingframework
curita/scrapy
Apr 2015 - Apr 2015
Contributions:16 commits, 55 pushes, 48 branches in 26 days
pythonscrapycrawling-frameworkhigh-levelweb-crawling
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