Gonzalo Canosa is a Data Architect, Data Engineer and technical lead with 12 years of experience building scalable data platforms and real-time streaming systems across industries such as rail and ports. He holds a PhD in Robotics and Automatics and blends deep research experience with hands-on mastery of Scala, Spark, Akka, Kubernetes, Airflow and cloud-native tooling to design resilient ETL and streaming architectures. At Alstom and NextPort.AI he led near-real-time Kafka/Spark pipelines, K8s-based data platforms and CI/CD for production deployments, while also mentoring junior engineers and teaching Kubernetes and Docker. A strong C++ systems background (including contributions to the well-regarded Fast DDS project) gives him uncommon insight into low-latency, message-oriented middleware and test automation. He is multilingual (Spanish, English, German), comfortable across SW/HW boundaries, and actively seeks to pivot further into Big Data and Data Science leadership roles.
12 years of coding experience
14 years of employment as a software developer
Educación primaria y secundaria., Educación primaria y secundaria. at German School Albert Dürer, Sevilla
Erasmus Student Advanced Control Theory, Erasmus Student Advanced Control Theory at KTH Royal Institute of Technology
Spanish and International Baccalaureate., Spanish and International Baccalaureate. at Instituto Martínez Montañés
Doctor of Philosophy (PhD) Robotics and Automatics, Doctor of Philosophy (PhD) Robotics and Automatics at Universidad Politécnica de Madrid
University of Seville
Bootcamp Full Stack developer with reactive patterns Ingeniería de software, Bootcamp Full Stack developer with reactive patterns Ingeniería de software at datahack school
The most complete DDS - Proven: Plenty of success cases. Looking for commercial support? Contact info@eprosima.com
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:12 commits, 2 PRs, 4 pushes in 3 months
Contributions summary:Gonzalo primarily focused on implementing unit tests and contributing to the core functionalities of the Fast DDS library. Their work involved adding and modifying unit tests within the `ertps_unit` directory, testing core CDRMessage functionalities and other core objects. Moreover, the user has made changes that suggest they are familiar with the project's underlying RTPS and DDS concepts, particularly with `StatefulWriter` and `Subscriber` classes. This indicates a strong understanding of the project's architecture and how the different elements interact.
Contributions:1 PR, 122 pushes, 5 branches in 4 years 10 months
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Gonzalo Canosa - Data Architect Data Engineer Technical Lead