Case Studies
Selected projects demonstrating measurable business impact through technical excellence.
SEGRO plc · FTSE 100
Global Analytics & ERP Migration
Challenge
Modernize a 15-year-old ERP system and unify property data across 2,500+ global locations.
Solution
- Migrated legacy on-premises systems to AWS EKS using Terraform and Packer
- Developed Azure Data Factory pipelines to process 50GB+ of daily IoT sensor data
Outcomes
- Unified global real-estate data for predictive maintenance
- 99.9% uptime achieved
- 90% reduction in provisioning errors
Challenge
Transition 2M+ active members to a stable, scalable cloud-native platform.
Solution
- Directed a complex legacy migration of 200+ applications to Azure AKS with zero data loss
- Implemented real-time monitoring using Grafana and Prometheus
Outcomes
- Zero system downtime during migration
- 40% improvement in member satisfaction
- Automated scaling for traffic surges
Pepper Money · Fintech
Fintech Platform Modernization
Challenge
Transform a legacy monolithic lending platform into a modern, resilient microservices architecture on AWS.
Solution
- Architected a hybrid multi-cloud infrastructure using AWS EKS and Lambda
- Standardized resource provisioning with a centralized Terraform repository to accelerate deployments by 40%
Outcomes
- 65% reduction in loan processing time
- 25% reduction in cloud expenditure
- 99.9% uptime achieved
- Full PCI DSS compliance
Challenge
Establish a cloud-native foundation for citizen-facing services supporting over 200,000 residents.
Solution
- Led the implementation of Azure Landing Zones and managed AKS clusters
- Advanced RBAC and namespace isolation for 50+ microservices
Outcomes
- 70% reduction in application processing time
- Deployment cycles reduced from 4 hours to 30 minutes
- Zero security incidents
Challenge
Strategic enterprise clients with multi-million dollar annual spends struggled with hidden expenses buried in complex, unstructured PDF invoices and contracts.
Solution
- Engineered a forward-deployed implementation using Azure Serverless (Functions, Container Apps) and LLM-based agents to automate metadata extraction from contract documents
- Built high-performance data pipelines using DuckDB and Python
Outcomes
- 10-15% cost savings identified for Fortune 500 client
- 100k+ pages processed per run
- Time-to-insight reduced from months to days