Guilherme Crocetti is a Senior Software Engineer based in São Paulo with nine years of experience building reliable backend systems and test automation, particularly in Python and cloud-native architectures. He has contributed to high-profile open-source projects such as Apache Airflow, moto, and AWS Powertools for Lambda—improving testing infrastructure, expanding RDS and EventBridge support, and refactoring batch middleware to boost developer velocity and system reliability. At companies from startups to enterprise (Loadsmart, Red Hat, iClinic), he has focused on backend, DevOps, and data engineering improvements that reduce technical debt and harden integrations with AWS services. With an academic background in bioinformatics and computational biology from IME-USP, he brings a data-driven mindset and rigorous testing discipline that surfaces in his production and open-source work. An often-overlooked strength is his knack for translating deep platform-level changes into clearer, more testable interfaces that accelerate team delivery.
9 years of coding experience
5 years of employment as a software developer
University of São Paulo
Master of Science - MS, Biomathematics, Bioinformatics, and Computational Biology, Master of Science - MS, Biomathematics, Bioinformatics, and Computational Biology at Instituto de Matemática e Estatística - Universidade de São Paulo (IME-USP)
A library that allows you to easily mock out tests based on AWS infrastructure.
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:24 commits, 7 PRs, 26 comments in 2 years 6 months
Contributions summary:Guilherme primarily focused on enhancing the RDS2 (Relational Database Service) functionality within the `moto` library. Their contributions included adding new features like enabling IAM database authentication, incorporating the corresponding parameters in response models, and updating code to align with AWS documentation. They also wrote and updated tests to validate the new features and snapshot functionality, ensuring proper implementation. Additionally, the user added cloudformation support for EventBridge, further expanding the library's capabilities.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end Developer & Data Engineer
Contributions:3 reviews, 8 PRs, 20 comments in 1 year 5 months
Contributions summary:Guilherme primarily contributed to the Apache Airflow project by addressing bugs and implementing new features related to various providers. They focused on enhancing the Azure Data Factory hook, adding attributes and fixing compatibility issues. Additionally, the user refactored existing GlueJobHook methods, improving the functionality and maintainability of the code. These changes included adding methods for partition retrieval and creation, and refactoring to handle the 'Command' parameter.
monitorpythonschedulerapacheprogrammatically
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Guilherme Crocetti - Senior Software Engineer at Loadsmart