Caio Pilon

Led the implementation of 15+ third-party API integrations, designing robust ingestion workflows to process heterogeneous data sources with validation, transformation, and normalization strategies. Developed backend features and supported frontend flows, including secure file upload and verification pipelines with entity reference mapping. Acted as technical liaison in client discussions, clarifying integration requirements, troubleshooting edge cases, and ensuring alignment between business expectations and system capabilities. Contributed to system design decisions focused on scalability, data modeling, and long-term maintainability.

Designed and implemented internal loss-prevention and fraud detection systems using event streams from the bike-sharing platform. Integrated external APIs for real-time data validation and cross-checking, ensuring transaction consistency and anomaly detection. Became the primary technical point of contact for the initiative, defining and implementing antifraud logic in collaboration with stakeholders, balancing risk mitigation and user experience. Improved system reliability and maintainability through refactoring and structured domain modeling.

Owned marketing analytics data infrastructure, designing and maintaining structured datasets to support attribution modeling and user segmentation initiatives. Implemented external data ingestion workflows (pull and push APIs), integrating third-party marketing platforms with internal event data. Modeled and transformed datasets to generate actionable insights for media attribution and performance analysis. Partnered with data science teams by provisioning reliable, well-structured datasets for modeling and experimentation.