Marcos Barbero

Amsterdam, North Holland, Netherlands
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Summary

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Rockstar
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Top School
Marcos Barbero is an experienced engineering manager based in Amsterdam with over 18 years in software engineering and more than a decade in leadership roles, currently guiding multiple teams at Quin to deliver healthcare solutions for people with diabetes. He blends hands-on backend expertise—evidenced by open-source work on a Spring Cloud Zuul rate-limiting library—with strategic responsibilities in architecture, product strategy, recruitment, and people development. Comfortable across domains from advertising and e-commerce to banking and automotive, he focuses on building collaborative, growth-oriented teams that reliably ship production-grade systems. Marcos is passionate about continuous learning and knowledge sharing, often translating operational improvements into reusable tooling and enhancements. A technologist by training with formal studies in IT and computer administration, he pairs practical engineering depth with a strong track record of enabling teams to scale in fast-paced startups.
code11 years of coding experience
bookTechnologist, Computer/Information Technology Administration and Management, Information Technology, Technologist, Computer/Information Technology Administration and Management, Information Technology at Fatec Rio Preto
bookInformation Technology, Software Development, Information Technology, Software Development at Etec Philadelpho Gouvêa Netto
languagesPortuguese, English
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Stackoverflow

Stats
1,119reputation
56kreached
57answers
0questions
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Github Skills (13)

javas10
spring-cloud10
redis10
java10
netflix-zuul10
xml6
jpa6
hibernate6
spring-security6
spring-mvc6
spring6
spring-boot6
dependency-injection6

Programming languages (3)

MDXJavaHTML

Github contributions (5)

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Rate limit auto-configure for Spring Cloud Netflix Zuul
Role in this project:
userBack-end Developer
Contributions:41 releases, 55 reviews, 383 commits in 5 years 9 months
Contributions summary:Marcos primarily worked on implementing rate limiting functionality for the Spring Cloud Netflix Zuul gateway. Their contributions include refactoring package names, making policies optional, fixing issues for Redis cluster implementations, and adding in-memory rate limiter implementation. The user also added constants for properties names and implemented several code enhancements. These changes demonstrate a focus on backend development and system configuration.
rate-limitload-sheddingconfigurenetflix-zuulspring
Contributions:76 commits, 18 PRs, 75 pushes in 1 month
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Marcos Barbero