Frazer Jamieson

CTO of Ibm-aws Multi-cloud Practice @IBM

London, GB
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Aug 2019 — Present

CTO of Ibm-aws Multi-cloud Practice @IBM

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EDUCATION

1991 — 1992

University of Bristol

Research Scientist, World Health Organisation Control Program for African Trypanosomiasis, Veterinary Preventive Medicine, Epidemiology, and Public Health

1989 — 1990

University of Hull

Bachelor’s Degree, Molecular Genetics

1990 — 1994

University of the West of England

Bachelor’s Degree, Applied Biomedical Sciences

SKILLS

Large System ImplementationsBig DataPre-Sales Technical ConsultingJavaManaged ServicesSoftware DevelopmentPythonIntegrationVoipData CenterLarge Scale System IntegrationTechnical ArchitectureVirtualizationCloud AdoptionHtmlAmazon Web Services (Aws)ItilAgile MethodologiesService DeliveryGoogle Cloud PlatformAws Solution ArchitectureCloud ApplicationsRuby on RailsSystem ArchitectureTechnical Service DeliveryIT OperationsAngularSoftware ImplementationSoaCitrixInfrastructurePv DesignItil CertifiedSecurityDockerMachine LearningPhpOpen Source PlatformsCyber-SecuritySolution Architecture

ABOUT FRAZER JAMIESON

Chartered Engineer | Chartered IT Professional | Passionate System and Cloud Architect; I thrive on designing solutions to complex problems. Always eager to get hands on with technology whenever possible, I feel that if you want to know something properly then you need to roll up your sleeves and get your hands dirty. My focus is full stack cloud native engineering;I am a strong believer in small teams, frequent minor improvements, experimenting with new ideas and being brave with designs: Challenge everything and never assume!Subject Matter Expert (SME) in the following areas:1: Serverless technologies: optimising design for inherent elasticity / auto-healing / parallelism / automation.2: Microservice architecture: message driven, highly decoupled and independently scalable design. Re-engineering monolithic solutions into reusable business logic modules with inherent resilience, scalability and elasticity when in conjunction with serverless architecture.3: Big Data: serverless data lake design and capability; providing cost optimisation and massively parallel / performant complex query over traditional solutions. 4: Artificial Intelligence and Machine Learning (AI/ML): capability, design, integration and deployment. Enabling unified analytics and empowering diversification backed with business justification.

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Frazer Jamieson — CTO of Ibm-aws Multi-cloud Practice at IBM in London, GB | Unifers