Experience
Selected enterprise experience.
Client names stay confidential until they choose otherwise. What we can share is the context, the approach and what changed.
- Large enterprise · Platform engineeringEnterprise cloud platform engineeringChallengeStandardise cloud provisioning and improve the consistency of engineering delivery — so every team could build on the same governed foundations.OutcomeReduced manual variation, improved repeatability and a stronger foundation for governed cloud delivery.Read case study →
AWS · Azure · Terraform · GitHub Actions · Python
- Enterprise cloud estate · FinOpsFinOps optimisation and cloud cost visibilityChallengeIdentify recurring waste, prioritise cost opportunities and create decision-quality cloud cost reporting that engineering and finance could both act on.OutcomeA repeatable optimisation backlog and better cost visibility across technical and financial stakeholders.Read case study →
AWS CUR/FOCUS · Athena · QuickSight · EC2 · RDS · S3 · EBS
- Enterprise data platform · DatabricksDatabricks platform enablementChallengeImprove governance and create consistent deployment and access patterns for Databricks users and workloads — strengthening control without slowing data teams down.OutcomeImproved platform consistency, governance and repeatability for data teams.Read case study →
Databricks · Unity Catalog · Databricks Asset Bundles · SQL Warehouses · Cluster policies · Instance pools
- Enterprise cloud environment · SecurityCloud security and architecture patternsChallengeIntroduce secure, reusable patterns for cloud workloads and data flows — so security requirements could be met consistently without redesigning each workload from scratch.OutcomeReusable, reviewable patterns that balance security requirements with practical engineering delivery.Read case study →
AWS IAM · KMS · GuardDuty · S3 · Terraform · Python
A note on confidentiality
We don’t publish client names, logos, confidential metrics or identifying architecture without written approval. Where a client agrees, a named version of their case study will replace the anonymised one.