Daniel Manrique

Daniel Manrique

Cloud Systems Engineer @ Thomson Reuters

About Daniel Manrique

Daniel Manrique is a Cloud Systems Engineer with a strong educational background in computer science and project management. He has extensive experience in cloud solutions, having worked with major platforms like Microsoft Azure and Google Cloud, and has held positions at companies such as Rackspace Technology and Thomson Reuters.

Work at Thomson Reuters

Daniel Manrique has been employed at Thomson Reuters as a Cloud Systems Engineer since 2022. In this role, he focuses on designing and implementing cloud solutions tailored to meet the needs of clients in the financial and legal sectors. His responsibilities include optimizing cloud infrastructure and ensuring seamless integration of cloud services.

Education and Expertise

Daniel Manrique holds an Engineer's degree in Computer Science from Universidad Tecnológica de México, which he completed from 2015 to 2018. He also achieved a Licentiate degree in Computer Science from Instituto Politécnico Nacional from 2013 to 2015, and an Associate's degree in Informatics from the same institution from 2010 to 2013. Additionally, he earned a Master's degree in Project Management from Universidad Tecnológica de México in 2020.

Professional Background

Before joining Thomson Reuters, Daniel Manrique worked at Rackspace Technology as a DevOps Engineer II from 2020 to 2022. He previously held the position of Azure DevOps Support Technical Leader at Wipro Limited from 2018 to 2020. His early career included a role as an English-Spanish Interpreter at the Canton Fair in 2016 and a social service position at Universidad Tecnológica de México in 2018.

Cloud Solutions Development

In his role as a Cloud Systems Engineer, Daniel Manrique has contributed to the architectural design of cloud solutions for both the LATAM and US markets. He has developed hybrid cloud environments and provided deployment services for Microsoft Azure and Google Cloud Platform workloads, ensuring effective use of cloud resources and customer satisfaction.

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