Daniel Rochetti is a seasoned software engineer with 12 years of experience, currently at fal (Features & Labels) in Seattle. He spent several years at Amazon and AWS driving backend and developer-experience work and is a notable open-source contributor to AWS Amplify—responsible for the initial DataStore ("Gelato") implementation in amplify-swift, including SQLite integration, async APIs, query predicates and GraphQL model associations. Daniel blends startup founder instincts with enterprise rigor, having served as co‑founder/CTO and led architectural migrations (notably moving critical systems from EJB to Hibernate early in his career). He has a track record of shipping pragmatic data-sync solutions while improving developer-facing docs and UI to get features from prototype into production.
13 years of coding experience
17 years of employment as a software developer
UniCEUB - Centro Universitário de Brasília
Graduated, English Language, A, Graduated, English Language, A at Casa Thomas Jefferson
Contributions:52 reviews, 61 commits, 45 PRs in 2 years 4 months
Contributions summary:Daniel primarily contributed to the documentation and UI of the AWS Amplify framework. Their work involved updating code examples and guides related to the Android MapLibre implementation, including version updates and API changes. Additionally, they made changes to UI components and configurations related to the UI and datastore functionality, demonstrating a focus on both front-end and potentially back-end aspects of the documentation.
A declarative library for application development using cloud services.
Role in this project:
Back-end Developer
Contributions:51 reviews, 42 commits, 48 PRs in 3 years 1 month
Contributions summary:Daniel primarily worked on integrating DataStore functionalities within the Amplify Swift framework. Their contributions involved the initial implementation of the "Gelato" (DataStore) feature, including the addition of SQLite dependency. They focused on making APIs asynchronous, refactoring and improving code quality, and implementing query predicate capabilities. The user also contributed to the integration of GraphQL features to the Model and improved Model associations.
cloud-servicesserverlessdeclarativecloudswift
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