Florent Cenedese
Solutions Architect at Redis
Greater Paris Metropolitan Region France
Summary
👤
Senior🎓
Top SchoolFlorent Cenedese is a solutions architect with over a decade of experience translating complex big-data, real-time and cloud challenges into customer-facing products and POCs. He has led Office-of-CTO innovation work—building cloud-native analytics engines (Apache Datafusion, Arrow, Polars, Rust, Temporal, Kubernetes) and GenAI prototypes with LangChain—while closing the loop between R&D, sales and strategic customers. Strong in Spark, streaming, HPC and Linux/Unix, he combines technical account leadership and value-based selling to influence product direction and adoption at executive levels. Known for hands-on prototyping and mentoring teams, he has repeatedly shipped Kubernetes-native data platforms and production-grade analytics for large enterprises. Based in Greater Paris, he pairs deep systems-level expertise with a pragmatic, customer-centric approach and a light-hearted touch.
10 years of coding experience
20 years of employment as a software developer
Licence Computing, Licence Computing at Pierre and Marie Curie University
English, French
Github Skills (58)
lifecycle9
google-cloud-dataproc9
spark9
authentication9
multitenancy9
kubernetes-operator9
tibco8
openid-connect8
operator8
authorization8
apache-spark8
kubernetes8
identity8
quorum8
saml7
Programming languages (6)
Github contributions (5)
fcenedes/deequ
Sep 2021 - May 2022
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Contributions:1 PR, 2 pushes in 8 months
data-qualityapacheunitsparkunit-tests
fcenedes/dovetail-docs
Oct 2018 - Nov 2018
Contributions:48 pushes, 1 branch in 27 days
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