Currently working as a Data Engineering Consultant at Banco Votorantim SA within the Data Platform team, focusing on data governance and quality.Key Achievements and Responsibilities:Data Governance and Policy Enforcement: Developed microservices to implement data access policies and automate metadata management, enhancing compliance and data quality across the organization.Automation and CI/CD Pipelines: Led the automation of ETL processes and data pipelines using… Show more Currently working as a Data Engineering Consultant at Banco Votorantim SA within the Data Platform team, focusing on data governance and quality.Key Achievements and Responsibilities:Data Governance and Policy Enforcement: Developed microservices to implement data access policies and automate metadata management, enhancing compliance and data quality across the organization.Automation and CI/CD Pipelines: Led the automation of ETL processes and data pipelines using Python, SQL, and Apache Spark, implementing CI/CD workflows through Bitbucket to ensure seamless deployment and maintenance.GCP Data Architecture: Designed and managed cloud-based data architecture on GCP, optimizing data storage, processing, and accessibility for various business needs.Stakeholder Communication and Alignment: Maintained clear and continuous communication with stakeholders, aligning expectations, managing project timelines, and ensuring transparency in data processes.Project Management: Managed data projects using JIRA, coordinating tasks, tracking progress, and ensuring delivery within deadlines while maintaining high standards of data integrity. Show less

Worked at the largest bank in Latin America with over 100 million clients, contributing as a Data Engineer in a highly complex environment.Key Achievements and Responsibilities:Data Lake and Data Warehouse Management: Built and maintained robust data pipelines using Spark, Hadoop, and Hive, ensuring data quality and availability for strategic analysis by over 60 collaborators.Cloud Migration: Led the discovery and planning of migrating an on-premise data platform to AWS,… Show more Worked at the largest bank in Latin America with over 100 million clients, contributing as a Data Engineer in a highly complex environment.Key Achievements and Responsibilities:Data Lake and Data Warehouse Management: Built and maintained robust data pipelines using Spark, Hadoop, and Hive, ensuring data quality and availability for strategic analysis by over 60 collaborators.Cloud Migration: Led the discovery and planning of migrating an on-premise data platform to AWS, evaluating pros, cons, and opportunities, with results presented to over 40 stakeholders.Data Processing Optimization: Developed efficient ETL processes in Spark to handle billions of rows daily, ensuring real-time data availability for multiple teams across different areas.Data Visualization: Created dashboards in Tableau and Power BI for performance, behavior, and customer profile analysis, conducting weekly presentations to over 40 people.SQL Performance Training: Provided training on SQL best practices, including query optimization and cost reduction strategies. Show less

Worked at one of the largest digital banks in Brazil with over 20 million clients, supporting the CRM business team in data-driven decision-making.Key Achievements and Responsibilities:Data Architecture and Lakehouse Development: Designed and implemented a data lakehouse on GCP to store, structure, and provide data to over 30 stakeholders, enhancing data accessibility and analysis.Pipeline Automation with Airflow: Developed and orchestrated data pipelines in Python using… Show more Worked at one of the largest digital banks in Brazil with over 20 million clients, supporting the CRM business team in data-driven decision-making.Key Achievements and Responsibilities:Data Architecture and Lakehouse Development: Designed and implemented a data lakehouse on GCP to store, structure, and provide data to over 30 stakeholders, enhancing data accessibility and analysis.Pipeline Automation with Airflow: Developed and orchestrated data pipelines in Python using Apache Airflow, automating over 30 processes and reducing operational costs by 25%.ETL Processes in BigQuery: Created advanced ETL procedures and data transformations in BigQuery, ensuring efficient data processing and availability for SQL queries by over 30 stakeholders.Data Visualization and Reporting: Enabled data analysis through Google Data Studio, delivering insights and presentations to over 50 stakeholders, driving strategic decision-making.Data Documentation and Quality Assurance: Documented 60% of data processes, including data cataloging and implementing data quality procedures to ensure reliable data standards.SQL Training and Mini-Classes: Provided training and guidance to over 20 stakeholders on SQL query tuning and cost reduction strategies. Show less

Fast Shop is one of the largest retailers in South America specializing in electronic products.Developed data pipelines and ETL processes from CRM systems, enabling data consumption for over 40 stakeholders.Created and optimized tables and views in SQL Server, enhancing data retrieval efficiency.Designed and deployed dashboards in Power BI, providing critical insights to over 50 stakeholders.Utilized SQL for query tuning and data validation, ensuring accurate and… Show more Fast Shop is one of the largest retailers in South America specializing in electronic products.Developed data pipelines and ETL processes from CRM systems, enabling data consumption for over 40 stakeholders.Created and optimized tables and views in SQL Server, enhancing data retrieval efficiency.Designed and deployed dashboards in Power BI, providing critical insights to over 50 stakeholders.Utilized SQL for query tuning and data validation, ensuring accurate and optimized data outputs. Show less

Dasa is the largest integrated health network in BrazilData Analyse with Python (Pandas, matpotlib and others)Created and optimized tables and views in SQL Server, enhancing data retrieval efficiency.Data Analyse with SQLBuilding dashboards on Qlik View.