Data Engineer specializing in the design, implementation, and maintenance of Data Lakehouse architectures, data pipelines, and ETL/ELT processes within cloud-based Big Data environments. Proficient in data ingestion and storage from various sources such as APIs and databases, as well as in data processing, integration, and provisioning with a focus on ensuring data quality and access control. Experienced in collaborating with multidisciplinary and global teams across both multinational corporations and startups, utilizing traditional and agile methodologies. Industry experience spans the automotive and financial sectors. Holds a degree in Control and Automation Engineering from the University of Brasília, complemented by courses and certifications in Data Engineering. Demonstrates advanced knowledge in Python, SQL, AWS, Databricks, PySpark, Delta Lake, Airflow, Nifi, Docker, Deequ, PostgreSQL, MySQL, Git CI/CD strategies, Scrum methodologies, and in the modeling of Data Lake/Warehouse/Lakehouse architectures.