Douglas Cordeiro

Douglas Cordeiro

Analista De Automação @ SSI SCHÄFER

About Douglas Cordeiro

Douglas Cordeiro is an automation analyst with a background in mechatronics and industrial maintenance. He has over three years of experience in automation analysis and works at SSI SCHÄFER since 2019.

Work at SSI SCHÄFER

Douglas Cordeiro has been employed at SSI SCHÄFER as an Analista de Automação since 2019. In this role, he applies his knowledge and skills in automation analysis, contributing to the company's operational efficiency. His responsibilities include analyzing automation processes and implementing solutions that enhance productivity. With over three years of experience in this field, he has developed a strong understanding of automation systems and their applications in various industrial settings.

Education and Expertise

Douglas Cordeiro's educational background includes a degree in Engenharia de Controle e Automação from Universidade Federal de Lavras, where he studied from 2014 to 2019. Prior to this, he completed a Curso de Aprendizagem Industrial in Metalurgia at Escola SENAI 'Mário Dedini' from 2010 to 2012. Additionally, he pursued a Curso de Formação Continuada in Comandos Elétricos at Escola SENAI 'Mário Henrique Simonsen' in 2019. This diverse educational experience equips him with a solid foundation in automation and control engineering.

Background

Douglas Cordeiro began his career at Arcor do Brasil, where he worked as an Aprendiz in Mecânica de Manutenção from 2010 to 2012. This early experience provided him with practical skills in mechanical maintenance and introduced him to the industrial environment. His proactive approach to learning and adaptability have been key factors in his career development, allowing him to transition successfully into roles focused on automation.

Professional Experience

With over three years of professional experience in automation analysis, Douglas Cordeiro has developed a strong capability in this area. His role at SSI SCHÄFER involves analyzing and improving automation processes, which requires a deep understanding of both technical and operational aspects of automation systems. His ability to quickly adapt to new situations and learn rapidly has been instrumental in his success in this field.

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