Daniel Lee is a Solutions Architect with two decades of enterprise-focused experience and a practical full-stack .NET background, now driving cloud-native analytics and embedded BI at Sisense from British Columbia. He partners with Global 2000 customers to design multi-tenant, Kubernetes-based microservices platforms across AWS, GCP and Azure, translating business outcomes into scalable CI/CD and monitoring pipelines. His career blends hands-on development, operations and executive-facing strategy—from modernizing ERP/MES and supply-chain analytics to leading cloud automation practices at BMC and D2iQ. Known for influencing product roadmaps and authoring reference architectures, he combines technical depth in Terraform, Kubernetes, Kafka and observability stacks with a knack for operationalizing analytics into customer-facing applications. Unusually for an architect at his level, he continues to ship code and prototypes (Python, NodeJS, React) to accelerate proofs-of-concept and shorten time-to-value.
8 years of coding experience
17 years of employment as a software developer
Bachelor of Science Operations and Information Engineering, Bachelor of Science Operations and Information Engineering at Cornell University
Contributions:36 pushes, 1 branch in 1 year 10 months
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