Tamer Abdulghani is a cloud and AI data architect with over a decade of experience in software engineering and system architecture, currently serving as VP Cloud Solution Architect (AI Data) at Allianz Global Investors in Paris. He has led enterprise MLOps, data delivery and GenAI initiatives using Azure-native stacks (Databricks, Cosmos DB, Azure OpenAI, AI Search, Functions) and helped define operating models and xOps reusable workflows across the organization. Comfortable moving between hands-on implementation and strategic design, he has a track record of building hybrid cloud platforms, containerized microservices on AKS, and centralized data services adopted enterprise-wide. Former roles at Capgemini and Gisaïa show deep pedigree in big data pipelines (Spark, Cassandra, GCP) and CI/CD automation, while earlier telecom and teaching experience contribute to strong operational rigor and mentoring. Notably, he blends platform-level architecture with practical MLOps reference implementations, making him effective at turning PoCs into production-grade services.
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