David Retana Ribeiro
About David Retana Ribeiro
David Retana Ribeiro is a Data Engineer at TomTom with extensive experience in data engineering and software development.
Professional Experience at TomTom
David Retana Ribeiro currently holds the position of Data Engineer at TomTom, a role he has been serving in since 2022. Based in Madrid, Spain, he applies his extensive skill set to aid in the development and maintenance of data solutions. His role involves working within a dynamic environment to support various data engineering initiatives.
Previous Role at Plain Concepts
Before joining TomTom, David worked at Plain Concepts as both a Data Engineer and Software Engineer from 2021 to 2022. During his tenure, which lasted for one year in a remote capacity, he was responsible for developing software solutions and managing data projects. His work contributed to the efficient handling and processing of large datasets.
Professional Background at Paradigma Digital
David Retana Ribeiro served as a Data Engineer at Paradigma Digital from 2018 to 2021. Located in Madrid and its surrounding areas, he spent three years in this role. His responsibilities included engineering data solutions and optimizing data processing workflows, contributing significantly to the company's technical capabilities.
Early Career at Pragsis Bidoop and Core Networks S.L.
David's early career includes a role as Desarrollador de Big Data at Pragsis Bidoop in 2018 for five months, and as a Consultor Junior at Core Networks S.L. from 2016 to 2017. Both roles, based in Madrid, involved him in the development and consultation for big data projects, laying a strong foundation for his expertise in data engineering.
Academic Background and Skills
David Retana Ribeiro studied Ciencias de la Computación and achieved his Grado en Matemáticas from Universidad Complutense de Madrid, completing his studies in 2017. He has proficiency in edge computing platforms like Nvidia Jetson Nano, Raspberry PI, and Arduino, and is well-versed in data science and machine learning libraries such as TensorFlow, Numpy, Sklearn, Seaborn, Pandas, Scipy, PyTorch, Matplotlib, and Opencv. His programming skills include Python, Scala, and Java, and he is experienced in working with Linux environments.