Andrea Amorosi is a Senior Solutions Architect at AWS with a decade of experience helping teams design, modernize, and scale cloud-native workloads—currently leading Powertools for AWS Lambda (TypeScript) to improve developer velocity and serverless best practices. Based in Barcelona, he combines hands-on engineering and partner-facing cloud strategy, previously driving large-scale migrations and builder experience initiatives across Iberia. A long-time open-source maintainer and tech lead, his work on AWS Lambda Powertools for TypeScript (a package with ~1M downloads) includes implementing core tracer functionality, middy middleware, tests and cross-language documentation improvements. He started as a full‑stack freelancer and has deep practical experience across serverless, data pipelines, and multi-cloud integrations from roles at Accenture and several engineering consultancies. Known for blending developer experience with operational rigor, Andrea often speaks at re:Invent and mentors teams on security, automation, and pragmatic architecture.
10 years of coding experience
12 years of employment as a software developer
Erasmus+ Programme English Language and Literature/Letters, Erasmus+ Programme English Language and Literature/Letters at University of Reading
Master's degree Digital Solutions Development, Master's degree Digital Solutions Development at Barcelona Technology School
Bachelor's degree Digital Humanities, Bachelor's degree Digital Humanities at Università di Pisa
Powertools for AWS is a developer toolkit to implement Serverless best practices and increase developer velocity.
Role in this project:
Back-end Developer
Contributions:1 release, 2195 reviews, 773 commits in 1 year 6 months
Contributions summary:Andrea's commits focused on enhancing documentation and implementing core functionalities within the TypeScript-based AWS Powertools for Lambda project. They contributed to base documentation by incorporating content from the Python version. Furthermore, the user implemented the tracer feature including adding a capture lambda decorator, tests and documentation. They also added a middy middleware to the project and made quality of life improvements to the project.
A serverless API to add semantic search to your Hashnode blog using OpenAI, Pinecone, and AWS
Contributions:104 PRs, 113 pushes, 1 comment in 1 year 11 months
awsopenaipineconesemantic-searchserverless
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