Andrea Gandolfi
Site Reliability Engineer at YouTube
Milan, Lombardy, Italy
Summary
🤩
Rockstar🎓
Top SchoolAndrea Gandolfi is a Site Reliability Engineer based in Milan with 11 years of experience building and hardening production systems across high-scale consumer and travel platforms. Currently at YouTube, he focuses on reliability, automation and cloud-native patterns informed by prior engineering roles at KAYAK, Parexel and consulting engagements. He brings hands-on infrastructure expertise, particularly with Terraform and GCP networking—contributing practical examples for private Cloud Function access in the GoogleCloudPlatform foundation toolkit. Andrea combines backend software craftsmanship (C#/.NET and Python) with SRE practices to bridge development and operations effectively. Colleagues rely on him for pragmatic testing and validation work that reduces deployment risk while keeping systems maintainable. He pairs a solid computer science foundation from Università degli Studi di Parma with a reputation for strengthening complex, distributed services.
11 years of coding experience
7 years of employment as a software developer
Computer Science, Università degli studi di Parma, Computer Science, Università degli studi di Parma at Università degli Studi di Parma
English, Italian
Github Skills (12)
terraformer10
infrastructure-as-code10
python10
aac10
networking10
terraform10
gcp10
ibm-cloud-functions9
testing9
firebase-cloud-functions9
azure-functions9
google-cloud-functions9
Programming languages (7)
Github contributions (5)
GoogleCloudPlatform/cloud-foundation-fabric
Jul 2021 - Mar 2022
End-to-end modular samples and landing zones toolkit for Terraform on GCP.
Role in this project:
Cloud Engineer / Infrastructure Engineer
Cloud Engineer / Infrastructure EngineerContributions:6 reviews, 11 commits, 3 PRs in 7 months
Contributions summary:Andrea primarily contributed to the networking examples within the Terraform-based project, specifically focusing on private Cloud Function access from on-premise environments. Their work included adding new examples, improving existing code, and integrating tests to validate the implementation. The user's changes involved modifying Python-based Cloud Function code and creating test fixtures to ensure the functionality. Moreover, the user's contributions also included updates to testing configurations.
gcpvultrcdrend-to-endvcenter
andgandolfi/crmint
Sep 2019 - Mar 2020
Reliable data integration & processing for advertisers
Contributions:14 pushes, 3 branches in 6 months
advertisersdata-integrationreliable
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