Wagner Leonardi
DevOps Engineer at Swisscom
Rotterdam, South Holland, Netherlands
Summary
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Rockstar🎓
Top SchoolWagner Leonardi is a DevOps Engineer based in Rotterdam with 12 years of software engineering experience building scalable, maintainable systems across full-stack and infrastructure domains. He has led product development for global teams at Sprinklr and now applies DevOps and full-stack expertise at Swisscom, bridging real-time systems, automation, and platform reliability. His open-source work includes a LinkedIn scraper and a JavaScript pattern-matching library, reflecting a pragmatic focus on tooling, test automation and data extraction. Comfortable both leading teams and contributing hands-on, he brings a mix of engineering discipline, curiosity about the world—animals, travel and food—and a talent for turning messy integrations into dependable pipelines.
12 years of coding experience
13 years of employment as a software developer
Fédération Internationale de l'Art PhotographiqueComputer and Information Sciences, General, Computer and Information Sciences, General at Universidade Paulista
Portuguese, English
Stackoverflow
4,336reputation
518kreached
80answers
7questions
cross-browser
top-5%
jquery
top-5%
terraform
top-1%
html
top-5%
Github Skills (23)
puppeteer10
javascript10
testing10
scraper10
pattern-matching10
terraform10
arraylist10
crawler10
functional-programming10
jquery9
asp-net9
nodejs9
cross-browser9
html9
immutability8
Programming languages (11)
Github contributions (5)
linkedtales/scrapedin
Dec 2018 - May 2021
LinkedIn Scraper (currently working 2020)
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:10 releases, 115 commits, 37 PRs in 2 years 5 months
Contributions summary:Wagner appears to be working on a LinkedIn scraper, focusing on both frontend and backend aspects. The initial commit sets up the basic structure for scraping user profiles, and subsequent commits demonstrate a shift towards improving the scraping logic, particularly focusing on the extraction of information from LinkedIn pages. The user refactored the project to use scrapSection for better code organization. Further changes improved and fixed scraping capabilities for volunteer experience, contact info and positions.
pythonscrapylinkedin-scraperlinkedinscraping
z-pattern-matching/z
Sep 2015 - Oct 2019
Pattern Matching for Javascript
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:3 releases, 97 commits, 30 PRs in 4 years 2 months
Contributions summary:Wagner primarily focused on implementing a pattern matching system for JavaScript arrays and strings. Their work included core logic implementation for matching different argument patterns and handling various data types. They also developed tests to validate the functionality of the pattern matching implementation, including tests for ES5 and ES6 compatibility, demonstrating a strong focus on testing and quality assurance. The user refactored and improved the documentation of the implementation, including example usages.
matcherfunctional-programmingmatchingjavascripthandlers
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