DS

Diego Marques Silva

Engenheiro De Dados at Orbia

Diego Marques Silva has a diverse work experience spanning over a decade. Diego currently holds the role of Senior Data Engineer at Orbia since July 2022. Prior to that, they worked as an Engenheiro de dados at CI&T from October 2021 to June 2022.

Diego also served as a Senior Data Engineer at plusoft DTM - Marketing de Relacionamento from August 2020 to October 2021, where they were responsible for data modeling, ETL development, and automation using various technologies like AWS, SQL Server, MySQL, and PostgreSQL.

Before that, Diego worked as a Data Engineer at the same company, where they developed ETL/DW processes for a leading supermarket group, integrating data from sources like MongoDB, Amazon S3, and Oracle into Redshift data warehouse. Diego also implemented statistical models and collaborated with the Data Science team.

Diego started their career as a Business Intelligence Analyst at Metasix Tecnologia from August 2018 to December 2019. Diego then worked as an Analista de Business Intelligence Jr. at IBOPE DTM Marketing de Relacionamento from October 2017 to August 2018.

Prior to that, Diego was an Analista de Business Intelligence Jr. at Target Sistemas from August 2014 to September 2017. Diego was responsible for data integration, ETL development, and report generation using tools like SQL Server Management, Integration Services, and Analysis Services.

Diego began their professional journey as an Analista de Sistemas Jr. at Banif from 2011 to 2014. Diego also gained valuable experience during their stint as an Estágio em desenvolvimento at Valle Sistemas Corporativos from May 2010 to December 2010 and an Estágio at Fundação Vanzolini from May 2009 to May 2010.

Diego Marques Silva completed their undergraduate education from 2009 to 2014 at Faculdades Integradas Rio Branco, obtaining a degree in Systems Information. Diego'spost-graduate studies were carried out at Centro Universitário Senac from 2020 to 2021, where they pursued a specialization in Big Data.

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