Summary
Guilherme Dias is a Data Engineer and Senior Python Engineer based in São Paulo with five years of experience building scalable backends, distributed pipelines, and AI-infused systems for finance, retail, and SaaS. He has delivered high-throughput credit and commission platforms, optimized ORM performance, and built resilient asynchronous pipelines with Celery and AWS SQS that process thousands of events daily. Comfortable across the full stack, he designs integrations, deploys on AWS, and combines computer vision, GPU-accelerated media processing, and web UIs—examples include Qt6/OpenCV monitoring tools and FFMPEG GPU pipelines for real-time media analysis. A pragmatic problem-solver, he has led small engineering teams, implemented observability with Dynatrace OTLP and CloudWatch, and built data warehousing and BI solutions using Microsoft Fabric and Power BI. Curious about security and hacking culture, he brings a hacker’s mindset to production-grade engineering and automation, often turning RPA and custom bots into reliable products.
5 years of coding experience
3 years of employment as a software developer
Bachelor's Degree in Computer Science, with an emphasis on Full Stack Development, Information Technology, Bachelor's Degree in Computer Science, with an emphasis on Full Stack Development, Information Technology at Uniamérica
English, Portuguese