Matheus Felipe Pereira

• Implemented automated data pipelines using AWS Glue, Step Functions, and Lambda, reducing manual processes by up to 30% and increasing operational efficiency. • Designed and structured ETL and data transformation processes using SQL, MySQL, PrestoSQL, and PySpark, modeling data for analytics, reporting, and data products, ensuring performance, consistency, and scalability for BI consumption. Reduced SQL processing time by 70% through query optimization and migration to AWS cloud services. • Delivered actionable insights to technical and business stakeholders in agile environments (Scrum), supporting strategic decision-making and enabling initiatives that generated over BRL 10 million in product portfolio balance. • Contributed to the development and ongoing maintenance of the Conta Garantida product funnel, being responsible for reporting results and identifying bottlenecks and improvement opportunities. • Performed monthly cohort valuation and analysis, assessing the behavior of tens of thousands of customers, measuring campaign impact, and supporting strategic decisions related to growth, profitability, and retention. • Monitored key KPIs such as utilization rate, transactional volume, and churn, conducting weekly analyses to identify risk patterns and opportunities to improve product engagement and performance. • Developed and maintained executive and operational dashboards in AWS QuickSight, ensuring data quality, clear visualization, and automated refreshes for different stakeholder levels.

• Presented analytical results and actionable insights to stakeholders, supporting data-driven decisions that led to a 30% reduction in security vulnerabilities across the environment. • Trained analysts on the proper use of applications, dashboards, and operational processes. • Contributed to data governance initiatives and business process mapping (BPMN), promoting standardization, data reliability, and alignment with departmental goals.

• Defined KPIs and OKRs and developed Power BI dashboards, generating actionable insights for stakeholders and supporting data-driven decision-making. • Performed analysis, support, and optimization of data pipelines in an Azure environment, using Databricks, Data Lake, Azure Functions, and Storage Accounts (ETL, SQL, MySQL, DAX, and M). • Automated processes using Power BI, Power Automate, Power Apps (low-code/no-code), Power FX, and RPA, driving efficiency gains and reducing over 80 monthly hours of manual work.

• Reduced the product bounce rate by 10% through target audience analysis and improved campaign targeting. • Increased the product conversion rate by 15% through audience resegmentation, identifying the combinations of age, gender, and region with the highest propensity to convert. • Conducted exploratory and analytical analyses (descriptive, diagnostic, and prescriptive), identifying patterns, opportunities, and risks to support decision-making. • Structured ETL and data transformation processes using SQL, MySQL, PrestoSQL, and Python. • Designed and implemented executive and operational dashboards in Power BI and Tableau, using DAX and M, with a strong focus on data storytelling and direct support for strategic decision-making. • Developed and tracked marketing KPIs in GA4, including traffic, engagement, conversion, retention, churn, LTV, and CAC. • Applied Data-Driven Culture, DataOps, and BigQuery concepts to scale analytical solutions, increase data engagement, and optimize team performance.

• Developed engineering calculations and prototyping using AutoCAD and SolidWorks, reducing total product costs by 10% and generating over BRL 70,000 annually. • Optimized engineering processes through process standardization and technical documentation, reducing product construction time by 15%. • Worked in Maintenance Engineering and Performance Analysis. • Performed technical inspections and managed engineering reports. • Conducted risk assessments (Preliminary Risk Assessments – PRA) and technical validations, reducing risks associated with engineering activities.