I led teams composed of architects, engineers, and data analysts, developing robust and efficient cloud data projects. My focus is on results, best practices, and building strategic partnerships with clients, driving innovations through data.

I played a fundamental role in leading (4 teams) the development of the first data cloud project at one of the world's largest insurance companies (belonging to a major Brazilian bank). The initial focus was to meet the requirements of the Open Insurance Phase 2 regulatory project and enable analytical environments.Role as an architect:Architecture and enablement of the project's data tools in Azure (Databricks, Data Factory, Cosmos DB, AKS), integrating with the insurer's source bases such as SAP BW, Mainframe, Data Power, OPIN Platform, APIs, and other services.Participation in the data and integration team, working on architecture and enablement of Data Mesh with Databricks and Unity Catalog in Azure for analytical environments.Architecture and enablement of Confluent Kafka for an event-driven architecture, facilitating integration between Databricks, microservices, and CDC.Definition of CI/CD flows with Azure DevOps for regulatory and analytics (DataOps).Working with IaC (Terraform) to define the data environment provisioning automations.Role as a lead data engineer:Leading the team towards common objectives and adopting best practices, such as for batch and streaming data processing with Spark in the Lakehouse (Databricks).Creating data chassis to facilitate team deliveries.Identifying and addressing critical points in data processes.Standardizing the data catalog (governance).Responsible for reducing more than 60% of Storage and Databricks costs, optimizing data flows, and adopting best practices.Integrating data from all the insurer's clients and policies for regulatory compliance.Structuring data analysis.The deliveries and know-how of this project were crucial for the evolution of the insurer's cloud data journey. I conducted technical presentations and various data trainings. Role as PDM, acting in the management and formation of data people."

Experience in Big Data Projects at Ame Digital: Developing, leading, and implementing solutions in data analysis and engineering following agile methodologies. Worked extensively with Databricks, SQL, Python, PySpark, Azure Data Lake, Events Hub, and Power BI, closely connected with the business for operational tracking and monitoring of key indicators (OKRs).Data Engineering and Architecture:Data Solutions Architecture: Data architecture projects for consumption from APIs, cloud storage (Azure, GCP, AWS), FTP servers, and Azure Event Hubs, with efficient processing using Apache Spark in batch or streaming.Integration and Optimization of Datalakes: Responsible for integrating data from the Power BI Service to the DataLake and for building the chat ingestion, preparing for the construction of models.Dissemination of Knowledge and Best Practices: Implementation of the use of DataFlows and promotion of its best practices, in addition to the development of the internal Python library (PyAme), facilitating the activities of data teams.Optimization of Technical Resources: Significant improvement in the consumption of Databricks and Power BI Capacity.Automation and CI/CD: Development of CI/CD flows with Github Actions for automation of tests and deploys.Analytics:Development of various dashboards (Service, OKRs, Transactions, Power BI Capacity, Operational Excellence, and others) for tracking key indicators and operations, including a Near-Real-Time case for Black Friday using the Power BI Rest APIs.Promotion of the use of Figma for better visual construction of dashboards.Conducting exploratory data analyses to support strategic business decisions.Performance Indicators: Engagement in business alongside the creation of new indicators such as digital service effectiveness and operational excellence, examples include SLA, Average Time, NPS, FCR, CSAT, Friction, etc.

Co-founder with two other data market specialists, acting as:Instructor in data courses such as Data Engineering, Business Intelligence, and Power BI.Consultant for medium and large companies in data projects (Unilever, Consigaz, Hydraforce, Sunnyvale, and Valmet).We finished the project as we decided to focus on our corporate careers.

As IT Coordinator and BI specialist, I led the Information Technology department, focusing on:Implementation of the corporate Business Intelligence and DW environment using Power BI, SSIS, Pentaho, Azure Data Factory, and Databricks, responsible for the development of BI projects and also coordinating the performance of third parties.Data integration and dashboard development for:Controllership: Management of economic indicators, budget, EBITDA, and cash flow.Accounting: Detailed analysis via Income Statement, Balance Sheet, and profitability indicators.Purchasing: Operational optimization focusing on savings, SLA, and supplier efficiency.Finance: Monitoring of key indicators and liquidity. Operational focus.Inventory and Production Control Planning: Inventory management, analysis of operational efficiency, and production planning. Other assignments:Implementations and project coordination in the Protheus ERP such as system improvements development (ADVPL customizations) to meet all company areas and support modules in purchasing, finance, accounting, tax (Sped), inventory, PCP, PCO, PMS, and HR (including eSocial and TAF).Management and implementation of network infrastructure, including servers, DHCP, DNS, antivirus, firewall, File ServerCoordination of work with third parties, including consultancies and technical support.Management of supplier contracts related to the IT area.Efficient and secure management of technological infrastructure assets, focusing on cost optimization and effectivenessMy journey at Everest demonstrated my ability to lead IT teams and develop strategic projects that enhanced the company's efficiency and compliance