Duy Doan
Freelance Azure Senior Architect at Saint-Gobain
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolDuy Doan is a Freelance Azure Senior Architect based in Paris with 14 years of experience designing and automating cloud-native data platforms and distributed systems. He combines deep hands-on expertise in Terraform, Azure networking/security (AZ-103, AZ-700), and big data technologies like Cassandra, Spark and Zeppelin to deliver repeatable Landing Zones and self-service data stacks. Duy has a strong engineering background—Java/Scala developer and contributor to Apache Zeppelin—enabling pragmatic improvements such as Scala display utilities for older Spark versions. He regularly builds CI-driven Terraform testing and deployment pipelines (GitHub Actions, Azure DevOps) and architects secure multi-tenant AKS, backup and network solutions for enterprise teams. Known for turning complex migration and observability requirements into automated, audited workflows, he also brings practical knowledge of Datastax Enterprise and hybrid cloud patterns.
14 years of coding experience
16 years of employment as a software developer
Master of Science Advanced Computing, Master of Science Advanced Computing at Imperial College LondonAlbert de MunMaster Degree Computing, Master Degree Computing at Centrale Lille
Vietnamese, English, French
Github Skills (10)
apache-zeppelin10
openzeppelin10
big-data10
spark10
scala10
java9
javas9
javascript8
database7
databases7
Programming languages (9)
Github contributions (5)
apache/zeppelin
May 2015 - Apr 2020
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:68 PRs, 165 comments in 5 years
Contributions summary:Duy implemented Scala utility functions within the Apache Zeppelin environment, specifically focusing on improving table display functionalities. This involved creating a new module named "spark-utils" to provide Scala code for display utilities. The user's contributions aim to make it easier to create tables, particularly for users of older Spark versions and those who prefer to avoid converting RDDs to DataFrames for display purposes. The changes include new tests in DisplayFunctionsTest.scala and DisplayUtils.scala to validate the implementation.
data-drivendata-analyticsanalyticsnosqlflink
doanduyhai/HomeSpotify
Mar 2015 - Apr 2016
Contributions:32 commits, 55 pushes, 6 branches in 1 year
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