Luis Redondo Cañada
About Luis Redondo Cañada
Luis Redondo Cañada is a Data Engineer at Cabify, specializing in ETL implementation and data integration.
Current Role at Cabify
Luis Redondo Cañada has been serving as a Data Engineer at Cabify since 2020. In this role, he focuses on implementing ETL processes using Go to integrate third-party data into Cabify's DataWarehouse. His work involves building robust data pipelines to support the company's data infrastructure and enable efficient data processing.
Previous Experience at Cabify
Luis held various roles at Cabify before becoming a Data Engineer. From 2017 to 2020, he was an Engineering Manager, where he led engineering teams. Before that, he worked as an Android Engineer from 2015 to 2020, contributing to the development of Cabify's mobile applications.
Experience at Indra Sistemas
Prior to his tenure at Cabify, Luis was a Mobile Engineer at Indra Sistemas from 2013 to 2015. He worked in the Greater Madrid Metropolitan Area, focusing on mobile solutions and contributing to various mobile engineering projects.
Academic Background
Luis pursued his higher education in Ingeniería informática. He obtained a Máster en Informática Móvil from Universidad Pontificia de Salamanca in 2013. Prior to that, he achieved a Grado en Ingeniería Informática from Universidad de Salamanca in 2012 and completed his Ingeniería Técnica en Informática de Sistemas from the same university in 2011.
Machine Learning Platform Development
At Cabify, Luis developed Lykeion, a machine learning platform designed to streamline the workflow for data scientists. This platform allows data scientists to focus on model development without the need to manage production deployments, facilitating more efficient machine learning operations.
Data Pipeline Technologies
In his work at Cabify, Luis utilizes technologies such as Scala and Apache Beam to build DataLake and DataWarehouse pipelines. These technologies play a crucial role in constructing robust and scalable data infrastructure, enhancing the processing and management of large datasets.