Ironbook AI · Aug 2025 – Present
Large-scale data migration products
Architected large-scale migration pipelines and automated workflows with ETL tooling and Argo Workflows on Kubernetes.
01Context
Moving customer data between systems is a product in its own right at Ironbook AI. I architect the pipelines that do it.
02Challenge
Large migrations are long-running, multi-step and failure-prone. They have to be repeatable, observable and automated rather than run by hand.
03Approach
- 01
Pipelines, not scripts
Architected large-scale migration pipelines using ETL tools: extract from the source, transform, load into the target.
- 02
Orchestrate on Kubernetes
Automated the workflows with Argo Workflows on Kubernetes, so each migration runs as a defined, repeatable sequence of steps.
04Architecture
1Source
- Source systems
2Orchestration
- Argo Workflows
- Kubernetes
3ETL
- Extract
- Transform
- Load
4Destination
- Target platform
Simplified view of how the pieces connect.
05Stack
06Outcomes
- Migrations run as automated, repeatable workflows
- Orchestrated with Argo Workflows on Kubernetes
Details are generalised to respect employer and client confidentiality. Numbers shown are the ones I can share.
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