Summary
Igor Afonso is a systems analyst with 8 years of hands-on experience building full-stack web applications and data-integrating tools from Minas Gerais, Brazil. He has designed and implemented credit-analysis platforms and web crawlers end-to-end, creating Node.js/TypeScript APIs (NestJS) and Next.js front-ends that centralize data from sources like BACEN, Receita Federal and Serasa. Igor has migrated and modernized systems across stacks—moving code from JS to TS, implementing queues with RabbitMQ, and currently steering an API migration from NestJS to Python to align with bank standards. His background spans ERP, BI, and performance-tuned crawler architectures using MongoDB, MySQL/Postgres, Docker and AWS, reflecting a pragmatic focus on reliability and scalability. Colleagues describe him as attentive and eager to learn, and he often surfaces strategic improvements (like queueing for crawler throughput) that aren’t obvious from feature lists alone.
8 years of coding experience
2 years of employment as a software developer
Bacharelado, Sistemas de Informação, Bacharelado, Sistemas de Informação at Faculdade Pitagoras