Lucas Guimarães
About Lucas Guimarães
Lucas Guimarães is an Equity Research Data Engineer at Jefferies with over 7 years of experience in data engineering, specializing in data integration and data management.
Current Position at Jefferies
Lucas Guimarães is currently employed at Jefferies as an Equity Research Data Engineer. His role involves utilizing data engineering skills for equity research purposes. He joined Jefferies in 2022, where he continues to amplify his expertise in data integration and management.
Professional Experience at Evalueserve
Lucas Guimarães has held several positions at Evalueserve between 2017 and 2022. Starting as a Senior Business Analyst in Viña del Mar, Chile (2017-2019), he then transitioned to a Senior Business Analyst - Data Engineer in Chile (2019-2021). Finally, he served as a Practice Expert - Data Engineer until 2022. His tenure at Evalueserve highlights his progression in data engineering roles.
Early Career at Intrabase Consultoria E Planejamento
From 2014 to 2017, Lucas Guimarães worked at Intrabase Consultoria E Planejamento in São Paulo, Brazil. He initially joined as a Consultant DBA for two months in 2014 before advancing to Data Analyst. His responsibilities included managing databases and performing data analysis.
Educational Background in Data Science and Technology
Lucas Guimarães holds a Specialist degree in Data Science, Big Data Analytics, and Information Technology from Universidade Presbiteriana Mackenzie, completed between 2014 and 2015. Additionally, he achieved a Technologist degree in Database Technology from Impacta Tecnologia, where he studied from 2012 to 2014. These academic credentials underpin his technical expertise in data engineering.
Advanced Technical Skills and Certifications
Lucas Guimarães is proficient in SQL and Python, essential skills for data engineering tasks. His technical proficiency is further validated by two AWS Specialty certifications, demonstrating his capability in cloud-based data solutions. His experience also includes working with alternative data sources for analysis, showcasing a diverse range of data handling abilities.