- Led and executed data engineering projects for high-profile clients from Rio de Janeiro,overseeing the entire lifecycle - from business rule definition to client interactions andfinal project delivery.- Expertly managed a Data Lake, optimizing the ingestion and handling of large volumes of structured and unstructured data, with millions of records, ensuring data accuracy, performance, and scalability.- Collaborated seamlessly with cross-functional teams, including data scientists, to developNLP models and Large Language Models (LLMs) that drive data-driven decision-making.- Spearheaded projects involving the automation of data extraction using bots and webcrawlers - unstructured data -, enhancing the team's capabilities in large-scale datacollection and analysis.- Conducted in-depth code reviews, upholding best practices in code quality, data integrity,scalability, and performance for contributions from team members and interns.

- Enhanced technical expertise through hands-on mentoring in Python and Machine Learning,applying knowledge to real-world data challenges.- Collaborated closely with both data engineering and data science teams, gaining aholistic view of data workflows, from ETL processes to predictive analytics. - Actively contributed to the design and development of interactive data dashboards,introducing innovative visualization models that improved data accessibility for clients.- Authored clear and thorough project documentation, supporting both technical and nontechnical stakeholders in understanding project goals and outcomes.