AWS architecture. Hands-on engineering.

I help founders and engineering teams design new systems and improve what’s already running. I work through the architecture decisions and implement the changes, balancing performance, running costs and the practical needs of your team.

AWS CertifiedDevOps Engineer – Professional

AWS CertifiedAdvanced Networking – Specialty

AWS CertifiedSysOps Administrator – Associate

Where I can help.

Architecture & technical decisions

Design or rethink the system behind your product—from application hosting to sensor-data pipelines. Compare options against scale, cost, complexity and what your team can maintain.

Containers & application delivery

Choose how to run and deploy your applications, review container architecture, and improve the builds, release pipelines and environments your developers use.

Networking & private connectivity

Redesign connections between customer systems, clouds and datacentres. Simplify routing and access, resolve IP conflicts, and reduce the connections your team needs to maintain.

Infrastructure cost & observability

Reduce unnecessary compute, database and networking costs. Improve monitoring and tracing so your team can understand performance, investigate problems and make informed capacity decisions.

Application, database & network migrations

Plan and implement moves to AWS, within AWS or away from it—with dependencies, data integrity, rollout stages and rollback considered before the change.

Technical experience behind the work

ECS / Fargate, EC2, RDS / PostgreSQL, VPC, IAM, Control Tower, Terraform, Docker, GitHub Actions, GitLab CI, CloudWatch and OpenTelemetry.

The tools follow the project and your existing setup—not the other way around.

Results from client work.

Faster customer access.
Lower connection costs.

I redesigned customer connectivity around outbound connections and resolved IP conflicts.

Average customer-site access setup
~2 weeks→~1 hour
Networking & connectivity / month
$2,000→<$100

Production deployments

90 → 20 minmain production deployment time

I rebuilt container images and release workflows while moving live workloads to ECS.

Sensor-data processing

~1 TB / daysensor data processed

I built an AWS pipeline with data engineers and data scientists to ingest, process and analyse sensor telemetry.

How I deliver.

  1. Review the system

    Understand the architecture, business priorities and the problem you need to solve.

    You getFindings & priorities
  2. Choose the approach

    Compare trade-offs and agree the scope, validation, rollout and rollback plan.

    You getAn agreed plan
  3. Implement & hand over

    Make and test the changes, check the result, and document how to operate it.

    You getWorking changes & handover

Let’s talk

What would you like to change?

Tell me what you’re building, improving or trying to understand. We can discuss whether I can help.

I’ll reply personally.

A few details to see if I can help.

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