Claudio Benfatto
DevOps Engineer at Adevinta
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolClaudio Benfatto is a DevOps engineer with 11 years of experience designing and operating scalable, automated cloud and on-premise platforms from Barcelona. He has led large infrastructure efforts including the consolidation and redesign of Adevinta’s mission-critical Kafka platform handling peak throughput of 700K messages/sec and built self-serve REST/GraphQL APIs for platform administration. His background spans platform engineering, PaaS migrations to Kubernetes/EKS, and production-grade observability and authZ/authN solutions across companies like Schibsted, Typeform and Springer Nature. Claudio contributes to open source data tooling—working on DataHub ingestion and Kafka stateful sources—bringing practical experience in metadata and stream processing. Colleagues know him for balancing solution-focused product thinking with strong analytical rigor and an appetite for bootstrapping initiatives such as internal data catalogs. He combines hands-on implementation skills with a talent for translating business goals into maintainable, automated infrastructure.
11 years of coding experience
12 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of CataniaMaster's degree, Centralized systems for Cloud Computing, Master's degree, Centralized systems for Cloud Computing at Politecnico di MilanoLiceo Scientifico
English, Italian, Russian, Spanish
Github Skills (14)
javas10
kafka10
metadata10
data-catalog10
java10
data-engineering10
python9
auto-discovery9
debug9
discovery9
data-governance9
discovery-service9
debugging9
test-automation8
Programming languages (8)
Github contributions (5)
datahub-project/datahub
Oct 2020 - May 2022
The Metadata Platform for your Data and AI Stack
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 6 commits, 6 PRs in 1 year 7 months
Contributions summary:Claudio primarily focused on fixing bugs and implementing features related to data ingestion and metadata management within the DataHub platform. Their contributions included adding placeholders for logging, fixing debug logging in the MAE producer, and enforcing correct behavior for the commit policy in the ingestion pipeline. They also worked on stateful ingestion for Kafka, implementing features such as stale entity removal and adding a Kafka source.
data-managementdata-discoverydata-stackmodern-data-stackdata-catalog
SpringerPE/ansible-cloudfoundry-role
Feb 2017 - Mar 2017
Contributions:5 commits, 4 pushes, 1 branch in 1 month
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