Cloud & Data Architect · Microsoft Platform & Full-stack Engineer
I design cloud and data architectures across AWS and Azure, and build the platforms and web applications that run on them. I turn business requirements into systems that are resilient, scalable and cost-aware, end to end.
A cloud and data architect with deep Microsoft-stack engineering roots. I design well-architected solutions across AWS and Azure (compute, data pipelines, analytics and machine learning), and lead their delivery as production platforms and .NET web applications.
I hold every solution to the same bar, whatever the platform: operationally excellent, secure, reliable, performant, cost-optimised and sustainable. Those are the six pillars of the AWS Well-Architected Framework, and they hold for any system, not just the cloud.
I'm a Cloud & Data Architect based in Leeds, United Kingdom, with a Microsoft full-stack engineering background. I hold an MSc in Advanced Computer Science (Cloud Computing) from the University of Leeds, awarded with Distinction.
I design and deliver cloud and data solutions across AWS and Azure: well-architected systems spanning compute, storage, data pipelines, analytics and machine learning. My engineering roots run deep in the Microsoft stack: years close to .NET, leading microservice modernisations, migrating monoliths to .NET Core, and shipping ASP.NET APIs and web apps to Kubernetes (AKS). I work end to end, from data modelling, warehousing and reporting through to the services and interfaces on top. Today, as an Implementation Lead Architect, I turn requirements into platforms that are resilient, scalable and cost-aware, partnering with cross-functional teams to ship them.
Good architecture is mostly invisible. It's what lets everything else move fast and keep working under load.
From cloud and data architecture to the platforms and web apps on top, I work across the whole stack. I design systems, then build, ship and run them.
I design well-architected systems on AWS, Azure or anywhere, turning requirements into resilient, scalable and cost-aware solutions.
Data modelling, pipelines and analytics, through to operationalising machine learning from features to production.
Infrastructure as code, CI/CD and Kubernetes. I ship and run platforms, not just build them.
On the Microsoft stack: .NET APIs, services and the web applications that sit on top.
MSc Advanced Computer Science (Cloud Computing)
2022 – 2023
B.Tech in Computer Science Engineering
2012 – 2016
8+ years of professional experience across 4 roles
Leading AWS cloud solutions and data architecture for data analysis and the reporting behind them.
Architected and built microservice-based platforms on Azure, with the data pipelines and stores behind them, and owned their delivery to cloud infrastructure through infrastructure-as-code and CI/CD.
Modernised legacy monoliths into cloud-hosted microservices on .NET Core, designing APIs, data models and integrations, building analytics and reporting features, and mentoring developers across the team.
Built ASP.NET web forms and MVC applications, and contributed to proof-of-concept work across data access, services and early analytics.
A decade of delivery and research, from architecting Azure platforms to modernising decade-old monoliths and prototyping with AI. Each card opens into the context, my contribution and the outcome.
Built a centralised document-generation platform on Azure, validating policy data with InRule across products.
Remapped a legacy system into modern APIs and mentored the team through the transition.
Migrated a monolith to microservices on AKS with dynamic, reflection-driven reporting.
Architected an Angular + GraphQL skills-search platform for managers, deployed on AKS.
Built a centralised document-generation platform on Azure, validating policy data with InRule across products.
Remapped a legacy system into modern APIs and mentored the team through the transition.
Migrated a monolith to microservices on AKS with dynamic, reflection-driven reporting.
Architected an Angular + GraphQL skills-search platform for managers, deployed on AKS.
Stood up a buffer microservice that kept forms and documents flowing correctly across systems.
Led the modernisation of a decade-old, 42-project WebForms application into microservices.
Enabled seamless, secure single sign-on transfer between a .NET and a Java platform.
Refactored a reimbursement monolith into microservices with stateful, automated email workflows.
Built the Angular UI skeleton and helped shape the GraphQL backend over a normalised schema.
Prototyped across a broad stack and built custom UiPath activities for ImageRight automation.
Built a multi-tenant PostgreSQL platform where one EF Core migration set provisions every tenant, across all three isolation strategies.
Authored a .NET library that evolves domain models over time while keeping full backward compatibility with older stored data.
Authored a .NET library that intercepts deletions and stores immutable archive snapshots with TTL policies and cascade archiving.
Built a reusable Terraform sample library covering the Azure estate, consumed by hundreds of pipeline-driven deployments.
Prototyped an access-review tool that surfaces the data reviewers need to decide.
Built a smart PDF-form prototype that prefills from prior data and generates completed forms.
Prototyped a sign-language interpreter using Custom Vision and text-to-speech.
Whenever you want to achieve something, keep your eyes open, concentrate and make sure you know exactly what it is you want. To accomplish great things we must not only act, but also dream, not only plan, but also believe.
Well-Architected solution design
March 2026Designing and deploying well-architected solutions on AWS: resilient, high-performing, secure and cost-optimised architectures across compute, storage, networking and databases, applying the AWS Well-Architected Framework to turn business requirements into systems that scale.
Machine learning in production
In preparationOperationalising machine learning on AWS: preparing data and engineering features; building, training, tuning, deploying and monitoring models in production; and applying MLOps, automation, model governance, security and cost control, centred on Amazon SageMaker.
Azure Solutions Architect Expert
July 2021Expertise crafting cloud and hybrid solutions on Azure across Compute, Network, Storage, Monitoring and Security, advising stakeholders and translating business requirements into solutions aligned with the Azure Well-Architected Framework, then implementing them alongside Developers, Administrators, Security and Data Engineers.
DevOps Engineer Expert
February 2022Bridging development and operations to enable continuous delivery: collaboration, code management, infrastructure provisioning, source control, security, compliance, CI, testing, delivery, monitoring and feedback, with a strong focus on Terraform, Azure DevOps and GitHub.
Azure Developer Associate
May 2021Responsible across all stages of development (requirements, design, deployment, security, maintenance, performance tuning and monitoring), spanning SDKs, storage, data connections, APIs, app auth, container deployment and debugging.
Web Applications
September 2017Professional developer using Visual Studio and ASP.NET (incl. .NET Core) to architect web solutions: designing and developing ASP.NET MVC applications, planning user-interaction solutions and deploying to multi-tier environments including Azure.
App Builder
September 2017Crafting Universal Windows Platform apps with compelling experiences across devices: program flow, types, debugging, security, data access, adaptive XAML UIs, navigation, data binding, notifications and reusable components.
Querying Data with Transact-SQL
January 2018Managing data with Transact-SQL: SELECT queries, joins, functions and aggregation, data modification, subqueries, APPLY, table expressions, pivoting, temporal and non-relational data, plus stored procedures, functions, triggers, views, error handling and transactions.
Software Development Fundamentals
December 2016Core programming principles: storage and data types, decision structures, repetition and error handling; object-oriented concepts; application life cycle; algorithms and data structures; web, desktop and database application fundamentals.
Data pipelines & analytics
June 2026Building and operating data pipelines on AWS: ingesting, transforming and orchestrating batch and streaming data; designing and managing data stores; cataloguing, governance and security; and optimising data for analytics with services such as Glue, Kinesis, Redshift, Athena and Lake Formation.
Enterprise & multi-account architecture
In preparationAdvanced, enterprise-scale architecture on AWS: complex multi-account and hybrid environments, migration and modernisation strategy, and the cost, performance, resilience and security trade-offs of designing across the full breadth of AWS services.
CI/CD, IaC & operations
In preparationProvisioning, operating and managing distributed systems on AWS: CI/CD pipelines, infrastructure as code, configuration management, observability and incident response, building high-availability, fault-tolerant automation with security and compliance throughout the delivery lifecycle.
Securing the AWS platform
In preparationSpecialisation in securing AWS: identity and access management, threat detection and incident response, infrastructure and data protection, encryption and key management, and logging and monitoring, to design and operate secure workloads end to end.
Notes on cloud & data architecture, .NET engineering and the practice of shipping software.
Convey did not appear from nowhere and it does not stand alone. DShop, Pacco, Ntrada, Chronicle, Pactify — the DevMentors constellation the toolkit grew out of and feeds into, which repo to study for what, and the close of both series.
There is no dotnet new template and no CLI — Convey's onboarding is docs, samples and source. Reading the repo-of-repos layout and its packing scripts, then walking the actual path: build your first service from an empty project, one config section at a time.
FastEndpoints.A2A publishes an agent card at a well-known URL and answers agent-to-agent calls through a JSON-RPC 2.0 dispatcher written entirely by hand - implementing exactly the slice of the A2A protocol it can do honestly. The final missing chapter, and the close of both series. Part 12 of FastEndpoints — The Missing Chapters.
