Marcos Bressan

Led zero-downtime migration of applications and databases from Aptible to AWS, optimizing scalability with ECS and Lambda. Automated CI/CD pipelines with GitHub Actions, reducing product’s time-to-value.

Led cloud infrastructure and security teams, improving compliance and data protection. Established Infrastructure-as-Code with Terraform and deployed AWS EKS for secure applications across thousands of servers.

Migrated legacy Machine Learning product to Kubernetes, cutting cloud costs by 60%. Built an Experimentation Platform for ML models and automated CI/CD and MLOps to boost deployment speed.

Created and open-sourced Deirokay, a Python data validation library. Built scalable ETL pipelines using Dask and integrated observability with Datadog for proactive monitoring.

Completed a Nanodegree in Machine Learning Engineering, focusing on machine learning algorithms, data processing, and model deployment.

Completed a Bachelor of Electrical Engineering, focusing on the principles of electrical systems, circuit design, and energy conversion.

Pursued a Master's degree in Electronics, Electric and Computer Engineering, emphasizing advanced topics in electronics and system design.