Carlos Delgado is a Principal Software Engineer and architect based in the Greater Madrid area with over 25 years of experience delivering large-scale, search-driven systems and platform migrations. He has driven technical roadmaps and product evolution at Elastic—helping merge Enterprise Search into the Elasticsearch codebase and improving search relevance—and has held senior architecture roles across travel and data companies including eDreams, Amadeus and Solera. Carlos blends hands-on backend and full-stack work (notably contributions to high-profile open-source projects like Elasticsearch and Kibana) with strategic leadership in cloud, Docker, and distributed architectures. He has a proven track record of turning domain-specific needs into scalable platforms—such as a landing-pages framework that generated millions of pages and materially increased traffic and revenue. Colleagues rely on him for pragmatic modernization plans that balance performance, reliability and operational visibility.
Free and Open Source, Distributed, RESTful Search Engine
Role in this project:
Back-end Developer
Contributions:1698 reviews, 15 commits, 581 PRs in 9 months
Contributions summary:Carlos contributed to the development of the Elasticsearch search engine, specifically within the context of Enterprise Search and Monitoring templates. Their work involved adding new index templates for monitoring Enterprise Search components and enhancing index permissions for service accounts. They also added functionality for Enterprise Search Module and enhanced privilege for the crawler logs. These changes suggest they were involved in extending the capabilities and security of the Elasticsearch platform.
Contributions:18 reviews, 5 commits, 23 PRs in 8 months
Contributions summary:Carlos primarily contributed to the Enterprise Search functionality within Kibana. They focused on enhancing the Enterprise Search applications, including fixing event structure changes and implementing features like precision tuning. Code changes span across front-end components, API interactions and underlying data structures. The user's work included both bug fixes and new feature implementations across multiple areas of the Enterprise Search platform.
elasticdashboardskibanaobservabilitywindow
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