I'm Dwayne D'mello. I work on two things that quietly drain a company: money leaking out of the cloud bill, and hours lost to manual work. I run FinOps-grade cost audits and optimisation across AWS, Azure and GCP, and I build automations — from n8n workflows to custom APIs, serverless functions, and MCP servers — that remove the busywork. Every engagement ends with a number: what it saved you.
Two things quietly cost companies the most: cloud spend nobody's watching, and manual work nobody's automated. I fix both, and I measure both.
I'm Dwayne D'mello, a cloud cost and automation specialist based in Berlin. On the cost side, I run FinOps-grade audits across AWS, Azure, and Google Cloud — spend analysis, right-sizing, tagging and governance, and reporting that keeps savings from creeping back.
On the automation side, I take the manual, repetitive work eating your team's time — data entry, reporting, document handling, request triage — and remove it. When speed matters I build in n8n or Make; when a process needs more, I build it from scratch with APIs, AWS Lambda or Azure Functions, and MCP servers, so it holds up as real infrastructure.
Both sides run on the same discipline: every engagement is tied to a number — money saved, hours returned, errors removed — so you can see exactly what it's worth.
Available for cost audits, automation builds, and process reviews.
FinOps-grade cloud cost audits, plus automation from no-code workflows to custom-built systems.
M.S. in Sustainability and Automation, plus an engineering foundation.
I prefer measurable outcomes, clean communication, and work that translates into action.
Work with me on one, or both — they're built to reinforce each other.
A FinOps-grade audit of your AWS, Azure, or GCP spend — where the waste is, what to fix first, and the governance to keep it from creeping back.
Automations that take repetitive, manual work off your team — no-code where it's fast, custom-built where it needs to hold up in production.
From no-code workflows to custom-built systems — the technical range to match how deep a job actually needs to go.
Architecture, deployment, and optimisation across the three major cloud providers.
Hand-built automation and integrations for when no-code tools aren't enough — serverless functions, APIs, and agent infrastructure.
Cloud architecture, optimisation, platform governance, cost-aware design, and AI-enabled technical problem solving.
Using Python, analytics, APIs, and workflow logic to turn ideas and insights into reliable execution.
A look at the automation and AI work I build — systems that remove manual effort and hold up in production.
Designed an automation system using n8n and AI agents to streamline business workflows, reduce manual work, and give teams real-time visibility into key updates and process changes.
Built and supported AI/ML solutions for renewable energy forecasting, with serverless execution and performance-oriented testing.
A focused view of recent roles across FinOps, cloud optimisation, and AI-enabled delivery.
Professional credentials that support the multi-cloud and FinOps work I do day to day.
Issued March 2025. Covers production-grade architecture design across Google Cloud.
Issued December 2024. Advanced architecture certification for enterprise-scale AWS design.
Issued July 2024. Focused on secure, scalable, and governed Azure environments.
Industry-standard certification covering cloud financial management practices.
Focused on FinOps Open Cost and Usage Specification and cost data interpretation.
Supports practical optimisation conversations around automated cloud efficiency.
If cloud spend or manual work is costing you more than it should, let's talk.
Open to cost audits, automation builds, and collaborations.