Guillermo Cerezo Guijarro
About Guillermo Cerezo Guijarro
Guillermo Cerezo Guijarro is an Engineering Manager specializing in Data Engineering at Cabify, with extensive experience in data architecture and cloud platforms.
Current Title and Role
Guillermo Cerezo Guijarro is currently serving as the Engineering Manager for Data Engineering at Cabify. He began this role in October 2023 and operates from Madrid, Community of Madrid, Spain. His position involves managing data engineering teams and driving data-focused initiatives in a hybrid work environment.
Previous Positions
Guillermo has held several key roles in prominent companies. Prior to Cabify, he was the Engineering Manager for Data at Busuu for 2 years (2021-2023), also based in Madrid. Before that, he spent 3 years as the Head of Data Engineering at Savia (2018-2021). Earlier in his career, he worked as a Senior Data Engineer at The Cocktail (2016-2018), and as a Business Data Analyst at Accenture (2014-2016). He also had an internship as an IT Engineer at Logalty in 2014 and briefly worked as a shop assistant at El Corte Inglés (2010-2011).
Educational Background
Guillermo holds an IT Engineering degree from Universidad Autónoma de Madrid, which he obtained after six years of study from 2008 to 2014. Additionally, he expanded his academic experience through the Erasmus LLP program, spending 11 months at Università degli Studi di Torino in 2013, where he focused on IT Engineering at the Master's level.
Skills and Specializations
Guillermo specializes in designing and developing data architectures, ETLs, and PII processes. He has extensive knowledge in cloud platforms, with a particular focus on Google Cloud Platform (GCP) and Amazon Web Services (AWS). His skills also include a proactive approach to team management, emphasizing the development of data-driven strategies and tools.
Professional Approach
Known for his proactive approach to team management, Guillermo is committed to helping companies become data-driven. His work involves spearheading data-centric projects and fostering collaborative team environments to achieve business objectives through innovative data solutions.