Rogério Campos
About Rogério Campos
Rogério Campos is a Data & Analytics Engineer currently working at Conta Simples since 2022, specializing in building data pipelines using PySpark and SQL within the AWS ecosystem. He has a background in data science and analytics, with previous roles at J!Quant and Banco Original, and holds degrees from USP and FIAP.
Work at Conta Simples
Rogério Campos has been employed at Conta Simples as a Data & Analytics Engineer since 2022. In this role, he operates remotely from São Paulo, Brazil. His responsibilities include managing and ensuring the quality and accuracy of financial data, as well as creating data pipelines that support decision-making processes across various levels of the organization.
Previous Experience in Data Science and Analytics
Before joining Conta Simples, Rogério Campos worked at J!Quant as a Data Scientist and Machine Learning Engineer from 2018 to 2022. His earlier experience includes a position at Banco Original, where he served as a Fraud Data Analyst for eight months in 2016 and then as a Data Analyst for one year from 2017 to 2018. During his tenure at Banco Original, he developed a Churn algorithm that became a key decision-making tool for the company.
Education and Expertise
Rogério Campos holds a Bachelor's degree in Applied and Computational Mathematics from USP - Universidade de São Paulo, which he completed from 2011 to 2016. He is currently pursuing a degree in Systems for the Internet - Analysis and Development of Systems at FIAP, expected to complete in 2024. His technical expertise includes building data pipelines using PySpark and SQL within the AWS ecosystem, as well as experience with GCP services like BigQuery and Data Flow.
Technical Skills and Specializations
Rogério Campos specializes in constructing data pipelines that facilitate strategic decision-making. He has extensive hands-on experience with AWS services, including S3, Athena, Glue, EMR, and Quicksight. Additionally, he has worked with GCP services such as Cloud Function and Pub Sub, and has some exposure to Azure. His focus on data quality and accuracy is particularly directed towards financial data management.