As a Senior Data Engineer, I play a comprehensive role integrating data engineering, infrastructure, architecture, and financial optimization processes. My responsibilities include: Data Architecture and Data Lakes: Designing, building, and deploying modern data solutions, including Data Lakes and Data Warehouses, optimized for scalability, governance, security, and performance. Data Pipelines: Developing and maintaining ETL/ELT pipelines for data integration, transformation… Show more As a Senior Data Engineer, I play a comprehensive role integrating data engineering, infrastructure, architecture, and financial optimization processes. My responsibilities include: Data Architecture and Data Lakes: Designing, building, and deploying modern data solutions, including Data Lakes and Data Warehouses, optimized for scalability, governance, security, and performance. Data Pipelines: Developing and maintaining ETL/ELT pipelines for data integration, transformation, and modeling, addressing analytical and operational needs. Data Infrastructure Diagnostics: Conducting in-depth analyses of data environments, assessing performance, scalability, security, and adherence to best practices to identify improvement opportunities and implement effective solutions. Infrastructure and Support: Setting up and managing cloud environments with a focus on high availability, process automation (CI/CD), monitoring, and reliability to ensure critical systems run continuously. FinOps: Implementing strategies to optimize costs in data environments and cloud infrastructure, ensuring efficient resource utilization aligned with the organization’s financial objectives. Strategic Collaboration: Working with cross-functional teams to align technology, operations, and business goals, delivering solutions that drive innovation, efficiency, and value generation. With an integrated and results-driven approach, I focus not only on implementing robust data systems but also on maximizing their operational and financial efficiency, turning data into strategic assets for the business. Show less

Cost Optimization: I decreased around 30% of the product infrastructure by scaling the infrastructure properly and monitoring metrics such as CPU and memory usage.Automation: I developed an approach for plagiarism identification of student projects using graph-based methods. Also, I developed automated code review engines to ensure that open pull requests were not breaking the company guidelines.Security and Compliance: Implement security measures to protect data infrastructure… Show more Cost Optimization: I decreased around 30% of the product infrastructure by scaling the infrastructure properly and monitoring metrics such as CPU and memory usage.Automation: I developed an approach for plagiarism identification of student projects using graph-based methods. Also, I developed automated code review engines to ensure that open pull requests were not breaking the company guidelines.Security and Compliance: Implement security measures to protect data infrastructure from unauthorized access and ensure compliance with data privacy laws and regulations, such as LGPD.Data Governance: I added data quality standards to ensure the data management practices align with expected standards, contributing to the overall quality and security of the data ecosystem.Design and Architecture: I develop and maintain scalable, reliable, and efficient data infrastructure to support the company's analytics and operational needs Show less

Automation: I developed an orchestrator that enabled the data analytics team to automate the ingestion process. Instead of using SQL, the data analysts could use YAML files, and the data pipeline would be automatically created following company policies and standards.Cost Optimization: Monitor and optimize infrastructure costs. I refactored the data pipeline template, which impacted around 1,100 data pipelines and reduced 40% of the data infrastructure costs.

As a consultant, I was allocated to the Data team from Banco BV. There, I was responsible for developing data pipelines using Spark and Python to support the data analytics team.

Responsible for building the data visualization platform, considering Business Intelligence (BI) principles to monitor metrics and variables of the automatic calculation project in partnership with the state finance department of alagoas. In this work I used Python, Django, Django Rest-framework and Plotly to generate visualization and build the platform.

Research and development in the area of sensor networks and distributed systems