Henrique Jefferson

- Designed and built Golang microservices for an SFTP-based ingestion platform using AWS S3, leveraging Go concurrency to process files efficiently and enable automated WhatsApp campaigns sending over 700K messages per month for retail clients, including pharmacies, fashion brands, and supermarkets. - Developed a scalable reporting pipeline using Python, Airflow, and SQL, processing data from 300K+ end-users across multiple clients. - Contributed to the core Golang messaging infrastructure integrating with Meta APIs, leveraging concurrent processing to handle over 1 million messages per day. - Owned a secure credential management system using AWS Secrets Manager and SQL, supporting 1,000+ clients and internal services. - Built a Golang-based WhatsApp chatbot platform serving over 200K monthly users for automated payment reminders, leveraging gRPC for inter-service communication and concurrent processing to ensure high throughput and low latency.

- Designed and operated high-scale APIs deployed on Kubernetes, handling 60M+ daily requests with high availability and low latency. - Owned and optimized financial transaction ingestion API processing 20M+ transactions per day using Python (FastAPI) and MongoDB. - Developed critical Golang components for a high-throughput transaction authentication gateway, leveraging Go concurrency to support over 3 million payment devices nationwide. - Built and improved security validation systems using AWS Cognito, ensuring secure access control for 24K+ client accounts. - Architected microservices-based solutions with load balancing and horizontal scaling, maintaining sub-2-second response times for transaction validation. - Developed large-scale reporting systems used by 2M+ users, processing sales data with Python (Pandas). - Contributed to API gateway services used by major clients such as Mercado Livre, AliExpress, and B2W. - Implemented business logic for financial simulations (installments and fees), used by millions of users.

- Developed a financial analysis platform using Node.js and Vue.js, processing $1.2M+ in transactions to detect anomalies and potential fraud. - Contributed to backend and frontend systems using .NET for enterprise software used by federal universities. - Designed and maintained SQL databases handling financial data from 18K+ academic projects.