Nacho Capilla Lasierra
About Nacho Capilla Lasierra
Nacho Capilla Lasierra is a Senior Big Data Engineer with extensive experience in big data technologies and cloud computing strategies. He has held various roles in notable companies, including Accenture and Rollbar, and has contributed to significant operational improvements in his field.
Work at Rollbar
Nacho Capilla Lasierra has been employed at Rollbar as a Senior Big Data Engineer since 2021. In this role, he focuses on leveraging big data technologies to enhance the company's data processing capabilities. His responsibilities include developing and implementing data solutions that improve operational efficiency and support business objectives.
Previous Experience in Big Data Engineering
Before joining Rollbar, Nacho worked as a Senior Big Data Engineer at Pragsis Bidoop for Orange Bank from 2018 to 2020. He also held the position of Big Data Architect at Grupo Dominion from 2017 to 2018. His experience includes significant contributions to big data projects, showcasing his expertise in data architecture and engineering.
Education and Expertise
Nacho studied at the University of Deusto, where he completed the Big Data and Business Intelligence Executive Program from 2016 to 2017. He also earned an MBA from thePower, completing the program in 2020. His foundational education includes a Técnico superior in Software Development from Universidad de Extremadura, which he obtained from 2008 to 2010.
Achievements in Big Data Projects
Throughout his career, Nacho has achieved notable results in big data initiatives. He successfully revamped ETL processes using distributed processing frameworks like Spark, which reduced job durations significantly. Additionally, he transformed batch reprocessing jobs into a streaming pipeline, enabling real-time computation of metrics and quicker insights.
Teaching Experience in Big Data Technologies
Nacho served as a Big Data Technologies Lecturer at Universidad de Deusto from 2017 to 2019. In this role, he shared his knowledge and expertise with students, focusing on the practical applications of big data technologies in various industries. His teaching experience complements his technical skills and enhances his contributions to the field.