Iñigo De Heredia
Software Engineer at Datadog
Spain
Summary
🤩
Rockstar🎓
Top SchoolIñigo De Heredia is a software engineer with 13 years of experience building backend systems and distributed services, currently contributing at Datadog from Spain. He prefers Go, Python, and Java, and has a pragmatic approach to learning—finding the lowest-cost path to level up when faced with unfamiliar tech. At Opinary he progressed from backend engineer to lead backend engineer, owning core services and mentoring teams, and earlier roles ranged from mobile to full-stack work in startups. He’s an active contributor to Go ecosystem tooling, notably implementing a performant, thread-safe priority queue with concurrency and memory optimizations in the go-datastructures project. Comfortable across the stack, he’s drawn more to the problem than the language and often focuses on robust, production-grade solutions for concurrency and performance. Based in Spain with a computer engineering degree, he blends hands-on coding with a knack for practical system design.
13 years of coding experience
9 years of employment as a software developer
Bachellor of Science, Computer Engineering, Bachellor of Science, Computer Engineering at Universidad del País Vasco/Euskal Herriko Unibertsitatea
Spanish, English
Stackoverflow
12,793reputation
692kreached
67answers
4questions
android
top-1%
android-layout
top-5%
Github Skills (13)
data-structures10
algorithms10
go10
android10
data-structure10
priority-queue10
concurrency10
android-layout9
testing8
background-image6
adt6
android-xml6
java6
Programming languages (8)
Github contributions (5)
Workiva/go-datastructures
Jul 2015 - Jul 2015
A collection of useful, performant, and threadsafe Go datastructures.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 2 PRs, 7 comments in 13 days
Contributions summary:Iñigo primarily focused on implementing a priority queue data structure in Go. Their contributions involved writing the core logic for the priority queue, including push, pop, and get operations. The user also addressed potential race conditions, optimized memory usage, and added support for duplicate items, enhancing the data structure's functionality and robustness. These changes demonstrate a deep understanding of data structures and concurrency in Go.
golangthreadsafedatastructuredatastructuresconsistent-hashing
akvo/akvo-flow-mobile
Aug 2013 - Mar 2016
Contributions:24 releases, 156 commits, 107 PRs in 2 years 7 months
akvoandroidapp-flownodejsjava
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