Diana Nanuti is a Senior Software Engineer based in the UK with nine years of experience building reliable backend systems and improving developer-facing cloud storage features. She has shipped critical S3 Select and Object Lambda work at AWS and now applies that expertise to blockchain analytics at Chainalysis. Diana contributes to major open-source projects like Presto, where she refactored S3 Select pushdown for Hive to support CSV/JSON and scan-range semantics—demonstrating attention to performance and maintainability in distributed query engines. Comfortable across product-scale systems and team collaboration, she cares deeply about how people experience technology and the health of the teams that build it.
9 years of coding experience
10 years of employment as a software developer
High School Mathematics and Informatics, High School Mathematics and Informatics at Colegiul Național „Mihai Viteazul” București
Bachelor's degree Computers and Information Technology, Bachelor's degree Computers and Information Technology at Facultatea de Automatică și Calculatoare, UPB
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Contributions:15 reviews, 7 commits, 13 PRs in 1 month
Contributions summary:Diana primarily focused on refactoring and enhancing the Presto query engine's S3 Select pushdown capabilities, particularly within the Hive connector. They created new packages and refactored existing classes to improve code organization and maintainability. The commits demonstrate work on integrating S3 Select with CSV and JSON data formats, including implementing scan range support. Additional commits included disabling S3 Select pushdown in scenarios where it wouldn't be beneficial.
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Contributions:2 PRs, 64 pushes, 6 branches in 1 month
hbasebigdatabig-datatrinodatabase
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Diana Nanuti - Senior Software Engineer at Chainalysis