• Acting as a Senior Data Engineering Consultant in the Cloud Governance team at Zup, supporting Itaú, one of Latin America's largest financial institutions, in managing and governing its extensive AWS cloud infrastructure.• Leading initiatives to enhance the management and organization of cloud metadata, critical for the bank’s AWS ecosystem, by developing and implementing governance solutions at scale to ensure efficiency, security, and compliance.• Designing and implementing automated solutions to:• • Provide real-time monitoring and visibility into Itaú’s expansive cloud environment, ensuring continuous control and governance of cloud resources.• • Integrate advanced alerting and notification systems to promptly address incidents and security concerns.• Collaborating with Itaú’s IT and Security teams to enforce governance best practices, such as:• • Standardizing cloud metadata management and compliance processes, ensuring the bank’s high standards of data integrity and access control.• • Supporting robust audit mechanisms tailored to a large-scale financial environment.• Contributing to the evolution of governance processes to support Itaú’s complex and extensive cloud operations, with a focus on scalability, documentation, and automation.

• Acted as the Data Engineering Tech Lead of the bank's Personal Loan product, leading the technical developments of its Credit Policies by implementing automated batch and real-time ETL solutions.• Development, maintenance, and improvement of ETL pipelines to:• • Supply Data Science teams by developing tables to be used on ML Models' development.• • Automate Credit policies, such as Credit Cards' and Personal Loans' limit reevaluations.• Development of:• • An Automated ETL jobs Monitoring project to mature the company's ability to deal with incidents.• • A Data Quality standardization project within the team to ensure the quality of the data delivered.• • A Python package to supply the bank's Data Scientists/Engineers/Analysts with easy-to-use tools to query Athena's tables, parallel process Athena's data, automate Data Quality and integrate automated messaging to Microsoft Teams channels.• Deployment of Machine Learning models to evaluate clients' behavior, potential risk to the bank, and predict credit grantings.• Contribution to team process improvements, including documentation, code best practices, and version control.

• Development, maintenance, and improvement of ETL/ELT pipelines to:• • Supply Data Analytics/BI teams.• • Supply the area's quarterly Employee Evaluation.• Implementation of :• • Various Data Models, such as the Multidimensional Model (Star schema), OBN (One big table), and event modeling, working within a Data Mesh architecture.• • Data Quality practices within the team through SQL assertion queries.• • A data pipeline that supplied a multifunctional logistics efficiency project, saving about R$ 50,000 per month.• Optimization of Python code and SQL queries.• Collaboration with BI Analysts to implement business rules in data pipelines. • Contribution to team process improvements, including documentation, code best practices, and version control.

• Development, maintenance, and improvement of ETL/ELT pipelines to:• • To supply Data Analysts/Business Intelligence teams by delivering data from Marketing campaigns from Banco Itaú and Electrolux.• Optimization of Python scripts and SQL queries, reducing the execution time of the main data pipeline from 1h50m to 15 minutes.• Implementation of practices to:• • Ensure data quality and reliability• • Improve code documentation, scalability, and versioning.