Dowglas Maia

Reduced debugging time by over 70% through advanced observability tools (Datadog, Kafka distributed tracing), improving system reliability and development efficiency. Achieved over 50% performance gains in batch processing by modernizing legacy systems with Java 21, Spring Batch, and Clean Architecture, enhancing scalability and reliability. Achieved 100% test coverage in core APIs by applying AI-powered test automation and BDD practices, ensuring reliability and maintainability. Collaborated with cross-functional teams to optimize scalability and reliability of the digital payment platform, impacting thousands of daily transactions.

Mitigated critical Veracode SCA vulnerabilities in over 10 microservices by migrating legacy stacks to Java 21 and Spring Boot 3, enhancing security and aligning with compliance standards. Accelerated development cycles by more than 30% leveraging AI-assisted coding tools like GitHub Copilot and Gemini, which improved team efficiency, code standardization, and time-to-market. Contributed to digital product development by implementing microservices with Java and Spring, applying Clean Architecture, and improving observability and performance. Collaborated with cross-functional teams to enhance scalability, reliability, and user experience for over 1 million clients.

Cut debugging time by over 70% through advanced observability tools like Datadog and distributed tracing with Kafka, improving system reliability and development efficiency. Achieved 50%+ performance gains in batch processing by modernizing legacy systems using Java 21, Spring Batch, and Clean Architecture, enhancing scalability and reliability. Reached 100% test coverage in core APIs by applying AI-powered test automation and BDD practices, ensuring reliability and maintainability. Collaborated cross-functionally to optimize scalability and reliability of the digital payment platform, impacting thousands of daily transactions for Elo, a leading Brazilian credit card and financial services provider.