André Brandão, PhD

Data and Software Engineer with 15 years of experience in multiple industries. Ph.D. in Computer Science from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio). Working at Wyllo as a Senior Data Engineer, building data solutions to help e-commerce companies detect fraud.

Senior Data Engineer at Wyllo (2025-12 – Present)

A risk intelligence platform that helps e-commerce companies detect fraud, prevent abuse, and optimize customer experience using data and AI. As a Data Engineer, I design, build, and optimize scalable ETL/ELT pipelines for e-commerce transaction data, ensuring data quality, reliability, and performance. I also generate insights and monitor data to support analytics, product decisions, and business outcomes.

• Architected data models using Star Schema and Medallion, improving data organization and query performance
• Developing and maintaining data pipelines to ensure data quality, and the lifecycle from ingestion to consumption
• Implemented data quality checks and validation frameworks to ensure accuracy, consistency, and integrity of data
• Optimized pipeline performance by identifying bottlenecks, significantly improving processing speed and efficiency
• Introduced a data catalog and drove adoption of data documentation practices, enhancing data governance
• Building dashboards to deliver insights on fraud detection, chargebacks, product returns, and billings
• Automated chargeback dispute reporting, reducing report generation from 1.5 hours to near-instant

Senior Data Engineer at Seedz (2023-05 – 2025-12)

An agtech company dedicated to optimizing financial transactions in the agribusiness industry. My role involves providing insights, building/improving pipelines (ETL/ELT), and monitoring data related to the loyalty program to enhance sales campaigns by offering rewards to sellers and cashback to customers. Operating over 100 channels in 10 countries, we have facilitated transactions worth over BRL 10 billion via our platform.

• Developing and maintaining data pipelines to ensure data quality, and lifecycle from ingestion to consumption
• Data quality checks and validation processes to guarantee data accuracy and integrity
• Improving pipeline performance, identifying bottlenecks, and increase processing speed and efficiency
• Developing API services and dashboards to provide transparency and visibility into data traffic and pipeline
• Conducting analyses to improve sales campaign frameworks, enhancing rewards for sellers and cashback for customers
• Dashboards that enable Operations teams to identify issues like reward failures, fraud, and inefficient business rules
• Evaluating existing technology environments to identify and address critical as operational, financial, security issues
• Mentoring technical teams, establishing best practices in architecture that align with the business goal

Data Manager at Gaivota (2021-04 – 2023-05)

An agtech startup focused on streamlining compliance analysis for the agribusiness ecosystem. Through a customizable platform, it offers automated solutions that enable banks, sellers, and traders to efficiently verify farm and grower data, as well as other critical information, enhancing the operational effectiveness of agribusiness companies.

• Led a data team in supporting Product teams to provide data-based solutions to agribusiness companies
• Delivered dashboards reporting insights to assist banks and tradings in compliance analysis and business plans
• Built dashboards that enable Product teams to identify user interaction patterns and preferences
• Web crawlers to systematically collect public data from governmental organizations, property listings, stock exchange
• Created a data lake to establish a centralized data hub to facilitate reporting and analysis across the organization
• Built a machine-learning model to predict soybean yields to well-known cities for its exceptional soybean productivity
• Developed a machine-learning model to estimate the value of rural properties and integrated it into a bank's credit provision pipeline for growers, which reduced from 8-10 days to a few minutes, making it a benchmark in the industry

Senior Data Scientist at ExACTa (2020-03 – 2021-04)

A consulting company aiming to support Petrobras, a major Oil and Gas company in Brazil, through solutions focused on identifying data patterns, developing prediction models and dashboards to enhance operational efficiency.

• Conducted data analysis and exploration of historical data from a major Oil and Gas company
• Developed a machine learning model to predict high levels of H2S emission in refineries
• Built a dashboard that enables operational teams to identify the factors influencing H2S levels every 5 minutes
• Developed a machine learning model to identify inaccuracies in equipment inspection reports and suggest appropriate terms, and delivered through a REST API service. This project received the Inventor Award 2022

Data Scientist at ECOA (2018-10 – 2020-03)

A consulting firm specializing in optimizing legal data analysis.

• Delivered solutions to assist Prosecutors in identifying patterns in legal processes
• Built a REST API to optimize the lawsuit allocation pipeline using machine learning to predict the suitable prosecutor
• Developed a machine learning model to identify legal texts with similar content from the historical document repository, delivered through a REST API service to identify fraud and increase the efficiency of document retrieval for prosecutors

• Ph.D. in Computer Science – Pontificia Universidade Catolica do Rio de Janeiro (PUC-Rio) (2016-08 – 2020-09)

• M.Sc. in Computer Science – Universidade Federal do Maranhao (UFMA) (2013-02 – 2015-03)

• B.Sc in Computer Science – Universidade Federal do Maranhao (UFMA) (2008-08 – 2012-12)