Claudio Raúl Zamora

Claudio Raúl Zamora

Senior It Manager Latin America Data Hub Dev Ops & Engineering @ Procter & Gamble

About Claudio Raúl Zamora

Claudio Raúl Zamora is a Senior IT Manager at Procter & Gamble, leading the Latin America Data Hub DevOps and Engineering team in Mexico City.

Current Position at Procter & Gamble

Claudio Raúl Zamora has been serving as the Senior IT Manager - Latin America Data Hub DevOps & Engineering at Procter & Gamble since 2016. Based in Mexico City, Mexico, he leads the development of the regional Latin America Data Hub, focusing on DevOps and engineering solutions. His role involves the enhancement of data management processes and the implementation of efficient data governance and reporting strategies.

Education at Budapest University of Technology and Economics

Claudio Raúl Zamora studied at Budapest University of Technology and Economics as an exchange student in 2015. During his 11-month tenure, he focused on Informatics and Renewable Energies, gaining specialized knowledge and diverse international experience in these fields.

Mechatronics Engineering at Tecnológico de Monterrey

Claudio Raúl Zamora completed his Engineer's degree in Mechatronics Engineering at Tecnológico de Monterrey from 2011 to 2016. His five-year education provided him with a strong technical foundation in engineering principles, contributing significantly to his expertise in IT management and data engineering.

Expertise in Data Governance and Reporting

Claudio Raúl Zamora has extensive experience in data governance and reporting, which he leverages to improve the efficiency of data management processes. His expertise ensures that data handling practices within the Latin America Data Hub adhere to high standards of accuracy and compliance.

Specialization in Data Visualization

Specializing in data visualization, Claudio Raúl Zamora enhances the capability to interpret complex data sets. This expertise supports strategic decision-making processes by providing clear and actionable insights derived from data. His role helps bridge the gap between technical data analysis and practical business applications.

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