Summary
Rosario Cuadra is a Senior Data Engineer with nine years of experience building Big Data platforms and analytics solutions across media, finance, and insurance sectors. With deep roots in Java/RDBMS and extensive hands-on work in Hadoop/Spark, Kafka, Cassandra and cloud-native tooling, she has moved from application development into designing resilient data architectures and streaming pipelines. She has contributed to European Horizon2020 research projects and implemented CI/CD and containerized environments (Jenkins, Nexus, SonarQube, Docker) in R&D contexts. Comfortable in both product and research settings, Rosario increasingly blends DevOps practices and Agile delivery with an active interest in blockchain, smart contracts and DLT. Based near Madrid, she brings a pragmatic mix of production engineering and experimentation, often translating research ideas into operational data solutions. Her background in recommendation systems and contextual streaming gives her a practical edge when turning complex data flows into business-impacting features.
9 years of coding experience
20 years of employment as a software developer
Máster Executive en Big Data Science, Máster Executive en Big Data Science at MBIT School
Ingeniería Técnica en Informática de Sistemas Ingeniería de sistemas, Ingeniería Técnica en Informática de Sistemas Ingeniería de sistemas at Universidad Politécnica de Madrid
Spanish, English