Lucas Isaac Alves Galvão Mathias
About Lucas Isaac Alves Galvão Mathias
Lucas Isaac Alves Galvão Mathias is a Senior Data Engineer with a background in Big Data and Business Intelligence. He has experience in managing large datasets using Scala and Python and has worked with various data sources and technologies throughout his career.
Work at BairesDev
Lucas Isaac Alves Galvão Mathias currently holds the position of Senior Data Engineer at BairesDev, a role he has occupied since 2023. He works remotely and is responsible for managing and processing large datasets. His expertise in data engineering allows him to contribute effectively to various projects within the organization.
Education and Expertise
Lucas studied at Wyden, where he focused on Big Data and earned an MBA with an emphasis on Business Intelligence from 2018 to 2020. He also attended Metrocamp, completing a program in análise e desenvolvimento de sistemas from 2016 to 2018. His educational background equips him with a solid foundation in data engineering principles and practices.
Professional Background
Before joining BairesDev, Lucas worked as a Data Engineer at CI&T from 2021 to 2023. He began his career as a Technical Systems Developer Intern at CPFL Energia in 2016, where he gained initial experience in the field. His professional journey reflects a consistent focus on data engineering roles across various organizations.
Technical Skills and Tools
Lucas utilizes programming languages such as Scala and Python in his current projects. He has experience with a range of data sources, including S3, ADFS, RDBMS, and NoSQL databases. His technical skill set includes moving terabytes of data daily using technologies like SparkSQL, Presto, and Spinner-Workflow (Airflow). Additionally, he has developed Web Services and REST APIs using Python and Node.JS.
Contract Work and Collaboration
In addition to his role at BairesDev, Lucas works as a contractor for Pinterest, contributing to their data engineering projects. He has collaborated with multidisciplinary teams to enhance data process efficiency and provide technical support, demonstrating his ability to work effectively in diverse environments.