Fernando Moura Leite Vendrameto

Fernando Moura Leite Vendrameto

Data Engineer @ Sinch

About Fernando Moura Leite Vendrameto

Fernando Moura Leite Vendrameto is a Data Engineer with experience in various roles, including positions at Serasa Experian and Sinch. He holds a Bachelor's degree in Computer Science from Universidade de São Paulo and a Nanodegree in Data Engineering from Udacity.

Current Position at Sinch

Fernando Moura Leite Vendrameto currently holds the position of Data Engineer at Sinch, where he has been employed since 2021. His role involves working with data pipelines and contributing to projects that enhance data processing capabilities. He has accumulated three years of experience in this position, focusing on developing scalable and reliable data solutions.

Previous Experience at Serasa Experian

Prior to his current role, Fernando worked as a Data Engineer at Serasa Experian for 11 months from 2020 to 2021. During this time, he was involved in data engineering tasks that supported the company's data-driven initiatives. His experience at Serasa Experian contributed to his professional development in the field of data engineering.

Educational Background in Data Engineering

Fernando studied Data Engineering at Udacity, where he completed a Nanodegree in 2021. This program lasted for 11 months and provided him with essential skills in data engineering practices. His education in this area has equipped him with the knowledge necessary to design and implement effective data solutions.

Bachelor's Degree in Computer Science

Fernando obtained his Bachelor's degree in Computer Science from Universidade de São Paulo, completing his studies from 2016 to 2020. This four-year program laid the foundation for his career in technology and data engineering, providing him with a comprehensive understanding of computer science principles.

Early Career at Sigalei

Fernando began his career at Sigalei, where he worked as a Data Engineer for 10 months in 2020. Before that, he served as an Estagiário em Mineração de Dados for 11 months from 2019 to 2020. His early experiences at Sigalei helped him develop practical skills in data mining and engineering.

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