Global Data Platform Migration
Architected the transition from a legacy estate to a multi-region cloud data platform with lower latency, clearer governance, and a cleaner operating model.
Selected architecture case studies across cloud platforms, AI systems, and modernisation programmes.
Architected the transition from a legacy estate to a multi-region cloud data platform with lower latency, clearer governance, and a cleaner operating model.
Designed scalable orchestration patterns for AI workflows where reliability, governance, and platform operations mattered as much as model performance.
Zero-trust patterns across Azure and GCP with identity boundaries, secret management, and policy-led access controls.
High-throughput event pipelines for operational data, with observability designed in from the start rather than retrofitted later.
Most architecture work is not greenfield. The interesting work is simplifying the difficult middle.
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