Reonaldo Latella

Reonaldo Latella

Delivery Station Manager @ Amazon Logistics

About Reonaldo Latella

Reonaldo Latella is a Delivery Station Manager at Amazon Logistics, currently overseeing operations in Milano, Lombardia, Italy. With a background in logistics and supply chain management, he has a proven track record in optimizing operations and implementing lean techniques.

Work at Amazon Logistics

Reonaldo Latella has been employed at Amazon Logistics in various roles since 2016. He served as Delivery Station Manager from 2019 to 2020 in Monza e Brianza, Italia, and has held the same position since 2020 in Milano, Lombardia, Italia. In his role, he has managed third-party resources on a regional scale, focusing on optimizing operations during peak seasons. Prior to his current position, he worked as Manager Operations at Amazon Logistics for three years, where he utilized data analysis to address complex operational challenges.

Education and Expertise

Reonaldo Latella holds a Master of Science in Management, Economics, and Industrial Engineering from Politecnico di Milano, where he studied from 2005 to 2011. He also earned a Master of Science degree from Universidad Panamericana in 2009-2010. His educational background provides a strong foundation in logistics and supply chain management, which he has applied throughout his career in various managerial roles.

Background in Logistics Management

Before joining Amazon Logistics, Reonaldo Latella worked in the logistics sector in Mexico. He was the Supply Chain and Logistic Manager at Natural Scents Store, S. de R.L. de C.V. from 2011 to 2014, and served as Coordinador de administración de indicadores logisticos at Laboratorios PiSA from 2014 to 2015. These roles contributed to his expertise in logistics management and operational efficiency.

Achievements in Process Improvement

Reonaldo Latella has a proven track record of implementing lean techniques to enhance process efficiency within logistics and distribution environments. His focus on data analysis has enabled him to solve complex operational problems effectively, contributing to improved performance in his roles at Amazon Logistics and previous positions.

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