Ignacio Vera

Java Engineer - Geo at Elastic

Spain
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Summary

🤩
Rockstar
🎓
Top School
Ignacio Vera is a seasoned Java engineer with nine years focused on spatial search and geospatial capabilities, currently advancing Lucene and Elasticsearch’s geo features at Elastic. He is a long-time Apache Lucene committer and PMC member who has implemented a Google S2-based spatial prefix tree and optimized spatial query performance in a widely used open-source search stack. Ignacio’s background blends database architecture and ETL expertise from a decade at the European Southern Observatory with hands-on systems design for distributed data stores and enterprise reporting. He pairs deep algorithmic knowledge of spatial indexing and BKD trees with practical performance tuning and production-grade engineering. Fluent in bridging developer and DBA worlds, he also holds an Executive MBA and a physics degree, signaling both technical depth and strategic perspective. An often-overlooked strength is his track record of fixing subtle geometry bugs and improving polygon/vector tile support in projects that power search at scale.
code9 years of coding experience
job16 years of employment as a software developer
bookPostgradute studies, Software enginner, Postgradute studies, Software enginner at Bangor University
bookLicenciatura, Physics, Licenciatura, Physics at Universidad Autónoma de Madrid
bookExecutive MBA, Executive MBA at Munich Business School
languagesEnglish, Spanish
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Github Skills (11)

lucene10
data-structures10
javas10
algorithms10
spatial-index10
data-structure10
java10
api-design9
restful-api9
rest-api9
api-rest9

Programming languages (6)

TypeScriptJavaCSSCJavaScriptPython

Github contributions (5)

github-logo-circle
elastic/elasticsearch

Aug 2018 - Jan 2023

Free and Open Source, Distributed, RESTful Search Engine
Role in this project:
userBack-end Developer
Contributions:1133 reviews, 658 commits, 2068 PRs in 4 years 5 months
Contributions summary:Ignacio was involved in implementing core functionality related to the fields fetch phase, specifically optimizing document deserialization in the Elasticsearch search engine. They addressed bugs, modified error messages, and implemented and integrated new features for polygon normalization and vector tiles in the API. They also worked on integrating geohex grid aggregation, and improving the stability and efficiency of the search system.
restrestfulsearch-engineelasticsearchjava
iverase/elasticsearch

Aug 2018 - Jul 2026

Open Source, Distributed, RESTful Search Engine
Contributions:2069 pushes, 2237 branches in 7 years 11 months
restrestfulsearch-engine
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