Alejandro Haro is a Principal Software Engineer with 12 years of experience, currently driving core performance and usage-collection work on Kibana at Elastic from Granada, Spain. He combines deep backend expertise in distributed systems and Elasticsearch with hands-on leadership gained building and operating 60+ microservices at Adstream. His open-source contributions to prominent Elastic projects like Kibana and Curator show practical mastery of Elasticsearch client behavior, API status handling, and reliable reindexing with improved test coverage. Comfortable across DevOps, Node.js/TypeScript, and event-driven architectures, he still writes code while shaping technical decisions, CI pipelines, and code quality standards. Alejandro’s background in telecommunications engineering and early work on network-protocol tooling explain his attention to performance and observability. Colleagues describe him as a fast learner who pairs pragmatic engineering with a strong sense of ownership.
12 years of coding experience
9 years of employment as a software developer
Master of Science (MSc), Telecommunications Engineering, Master of Science (MSc), Telecommunications Engineering at Universidad de Granada
Contributions:2669 reviews, 408 commits, 1884 PRs in 3 years 2 months
Contributions summary:Alejandro's commits focus on the Elasticsearch client configuration and the implementation of improvements to it within the Kibana codebase. Their work involves modifying the Elasticsearch client to skip certain product checks for scoped clients, which demonstrates an understanding of the underlying Elasticsearch interaction. Furthermore, the user's commits deal with the status format of the GET API, indicating involvement with server-side functionalities and APIs within Kibana.
Contributions:6 commits, 1 PR, 7 comments in 2 months
Contributions summary:Alejandro contributed to the `elastic/curator` repository, primarily focusing on reindexing functionality and related testing. They fixed issues in reindex actions, adjusted parameter counts, and addressed total items processed. The user also improved test coverage by adding and modifying tests related to reindexing, demonstrating a focus on code quality and reliability. These changes involved modifying both the core application files and unit tests, implying a combined role.
elasticsearch
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