Daniel Rodriguez is a Cloud Engineer based in Madrid with 12 years of experience designing and migrating large-scale data platforms toward serverless AWS architectures. He has led end-to-end Data Lake and cloud data processing transformations—moving from Hadoop/Hortonworks to cost-efficient, containerized and Fargate-orchestrated pipelines controlled by Airflow—while implementing strong network isolation and security controls. Comfortable in both hands-on Spark/Scala ETL work and higher-level cloud architecture, he has also supported sales, written proposals, and led teams on client projects. His background includes research internships in sensor-free environment data harvesting and swarm-robotics simulations, reflecting a curiosity for algorithmic problem-solving beyond typical cloud engineering tasks.
12 years of coding experience
4 years of employment as a software developer
Detection and encouraging of mathematical talent program in the Community of Madrid, Mathematics, Detection and encouraging of mathematical talent program in the Community of Madrid, Mathematics at Real Academia de Ciencias Exactas, Físicas y Naturales y la Fundación Airtel Vodafone España
Erasmus-Internship, Informatics, Erasmus-Internship, Informatics at RWTH Aachen University
Telecommunication Engineering, specialized in telematics engineering (Thesis pending), Telecommunication, Master degree (ABET accredited), Telecommunication Engineering, specialized in telematics engineering (Thesis pending), Telecommunication, Master degree (ABET accredited) at Universidad Politécnica de Madrid
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