Computer Science student in the eighth semester with a focus on data and technology currently functions as a Junior Developer, creating interactive dashboards with SQL, NoSQL, Python, and Metabase to facilitate client analysis of sales performance, inventory, pricing, and competition. Engaged in the data team, employing Big Data methods to manage extraction, transformation, and loading of data from various sources using tools such as Apache Airflow, Snowflake, MongoDB, and AWS. Also provides level 2 technical support with AWS CloudWatch, Postman, and OpenSearch, ensuring effective monitoring, testing, and troubleshooting of APIs and systems.

Previously, served as a research assistant on the Atlas project, developing a website to present geographical, socioeconomic, and environmental data of Paraíba using Python and NodeJS. This role enhanced programming skills, design and data analysis capabilities, and introduced agile methodologies like Kanban and Scrum, as well as tools such as Jira and Trello.

Maintains a keen interest in learning new languages and technologies, with particular enthusiasm for Artificial Intelligence, Machine Learning, and Cloud Computing, aiming to become a qualified and innovative professional in the data field capable of generating significant value and impact for organizations and society.