Rod Carvalho is a Senior Software Engineer and engineering manager with over 16 years of international experience building scalable web and cloud-native systems across Australia and Brazil. He combines hands-on backend expertise in Python, Java, NodeJS and Postgres with front-end work in React/React Native, and has led cross-functional teams to deliver solutions like carbon emissions calculators and geospatial data pipelines. Rod has a Master’s in Web Development, dual Australian-Brazilian citizenship that helps him operate effectively across time zones and cultures, and a track record of improving CI/CD, authentication, and API ecosystems at enterprises such as Nutrien, Geoscience Australia, and News Corp. He’s comfortable moving between architecture, code and stakeholder engagement—often stepping in to write critical components and mentor junior developers—making him a pragmatic leader who still enjoys deep technical work.
6 years of coding experience
13 years of employment as a software developer
English School English Language and Literature General, English School English Language and Literature General at Lexis English School Noosa Australia
Master of Computer Applications - MCA Web Development, Master of Computer Applications - MCA Web Development at Federal University of Technology - Parana
Bachelor Management Information Systems General, Bachelor Management Information Systems General at UniRitter
Cisco Certified Network Associate Computer Systems Networking and Telecommunications, Cisco Certified Network Associate Computer Systems Networking and Telecommunications at Fundação Bradesco
Sun Development Academy Computer Programming Specific Applications, Sun Development Academy Computer Programming Specific Applications at Sun Microsystems Brazil
Business Course Certificate III Business/Managerial Economics, Business Course Certificate III Business/Managerial Economics at Lexis Business Course Australia
A repository containing Airflow DAGs that are used for Digital Earth Africa.
Contributions:27 pushes in 23 days
pythonairflow-dagsemrearthairflow
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