John Kennedy

Product Director - Database Engines Domain at Aiven

John Kennedy has a wealth of experience in the technology industry, beginning with Logica in 2005 as an Operations Engineer for LogicaCMG - Mobile Payments. John then moved to Thomson Reuters in 2007, where they worked as a Support Engineer for the Networks & Securities Team and an Implementation & Support Engineer. In 2011, they joined Kulu Valley as an Implementation & Support Manager, and in 2013, they moved to TGK IT Services Limited as a Director. John then joined EdgeCast Networks as an Application Support, and was later promoted to Manager - Application Support for the UK. In 2014, they moved to Verizon Digital Media Services and continued in the same role. In 2018, they joined Cloudera as a Product Manager and Senior Manager, and then in 2019, they joined Neo4j as an AuraDB Self Serve Product Lead and Aura Self Serve Product Manager. Most recently, in 2023, they joined Aiven as a Product Director - Database Engines.

John Kennedy has a diverse education history, beginning with a BEng Aero/Astro from the University of Southampton between 1997 and 2000, specializing in CFD. In 2009, they obtained an MBA from The Open University in Business Administration and Management, General. In 2014, they completed an OnlineX Professional Education Course from the Massachusetts Institute of Technology, Tackling the Challenges of Big Data - Short Course. John has also obtained several certifications from LinkedIn, Lynda.com, and ProductLed, including How to Be More Strategic in Six Steps, How to Project Vocal Confidence, Multipliers: How the Best Leaders Make Everyone Smarter (Blinkist Summary), Designing RESTful APIs, Learning Azure Kubernetes Service (AKS), Learning Kubernetes, Programming Foundations: APIs and Web Services, Running Kubernetes on AWS (EKS), Product-Led Onboarding Certification Program, Blockchain Basics, Blockchain: Beyond the Basics, AI Accountability Essential Training, Neural Networks and Convolutional Neural Networks Essential Training, Programming Foundations: Algorithms, Artificial Intelligence Foundations: Neural Networks, Artificial Intelligence Foundations: Machine Learning, and Kubernetes: Cloud Native Ecosystem.

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Timeline

  • Product Director - Database Engines Domain

    February, 2023 - present

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