Fernando Cabral

Fernando Cabral

Software Engineer @ FactoryFix

About Fernando Cabral

Fernando Cabral is a Software Engineer with expertise in creating validation pipelines and automated jobs using Docker, ESLint, and GitHub CI. He has a Bachelor's degree in Computer Science and has worked for various companies, including MidiaVox Ltda and CESAR, before joining FactoryFix in 2021.

Current Role at FactoryFix

Fernando Cabral currently serves as a Software Engineer at FactoryFix, a position he has held since 2021. In this role, he focuses on creating and maintaining internal libraries that are utilized across all teams within the organization. His work involves developing Infrastructure as Code and Continuous Integration pipelines, employing tools such as Docker, Shell scripts, and Terraform. He also creates validation pipelines using ESLint and GitHub CI, ensuring code quality and efficiency in the software development process.

Previous Experience at MidiaVox Ltda

Before joining FactoryFix, Fernando worked as a Software Engineer at MidiaVox Ltda from 2018 to 2020. During his two-year tenure in Recife e Região, Brasil, he contributed to various software development projects. His responsibilities included creating automated jobs that ran in containers, enhancing the efficiency and scalability of the company's software solutions.

Experience at CESAR

Fernando's professional journey includes a role as a Software Engineer at CESAR, where he worked for one year from 2020 to 2021. His experience at CESAR further developed his skills in software engineering and contributed to his overall expertise in the field.

Education in Computer Science

Fernando graduated with honors in Computer Science from Universidade Católica de Pernambuco, completing his Bachelor's degree in 2022 after five years of study from 2017 to 2022. His academic background provided him with a solid foundation in software development principles and practices.

Data Analytics Studies

In addition to his degree in Computer Science, Fernando is currently pursuing studies in Data Analytics at the Toronto School of Management. This program, which he is expected to complete in 2024, will enhance his analytical skills and broaden his expertise in data-driven decision-making.

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