Designed and built a new multi-account AWS infrastructure using fully modularised Terraform, deployed automatically via CircleCI pipelines.

Defined coding standards for Alchemist Labs .NET Core micro services. All (non-serverless) services are containerised and running on Elastic Container Service (ECS). Built numerous Nuget packages to allow all projects to be built in a consistent style. Applications are automatically built and tested with the code deployed and Terraform applied by CircleCI.

Completed multiple website projects using the latest versions of React. Websites were built using various frameworks in- cluding Next.js, Astro and Gatsby.

Worked with the international fashion brand to deploy their new serverless applications to AWS. Working alongside their architects to bring AWS expertise to test their designs and offer alternative solutions where needed. Utilised a combination of Serverless Framework, Cloudformation and Terraform to deploy TypeScript Lambda functions and required regular liaisons with a third-party management company for cross-account resources and integrations.

Helped to secure, scale and monitor their Kubernetes clusters on Google Cloud Platform. Utilised a mixture of CI/CD pipelines (GitLab) and ArgoCD to deploy apps and services. Introduced Istio service mesh to replace Nginx for ingress for improved security (mTLS) between workloads, traffic management and monitoring capabilities.

Successfully migrated mission critical Hybris system and supporting Oracle RAC databases, from IBM SoftLayer to AWS. Introduced new CI/CD pipelines (Jenkins) to ensure the Java micro services could be tested and deployed automatically. All AWS infrastructure was created and managed using Terraform.

Introduced a new multi-account AWS Infrastructure; provisioned using Terraform.

Architected and delivered a brand new system built on top of our new AWS infrastructure, to import sales data from various platforms including (Spotify, Apple Music, YouTube etc), and process artist royalties. The new system (WebAPI hosted in ECS) validated, staged and reliably processed data using AWS Lambda functions and published sales data to Elasticsearch via SQS.

React based web app which displayed interactive customer dashboards. Data for the graphs was obtained via various APIs which talked to a number of different data sources including GraphQL, Elasticsearch and MySQL.

Built a logging api and supporting package used in all our applications/services to push all log data to Elasticsearch. Cloudwatch Alarms monitored various metrics and published to SNS to trigger a series of Lambda functions to push alerts out to interested parties based on severity, via Slack channels/SMS/email.

My 10% time project which allows users to store/retrieve passwords/documents. The system stored documents in DynamoDb so was queryable in the ReactJS based web front end, and all user documents were stored in S3. Both DynamoDb and S3 documents/objects were encrypted by KMS.

Migrated ~30 mission critical legacy services running on a single server, to independent services hosted on various parts of Amazon Web Services (AWS). This included risky refactoring/rewriting parts of the services, replacing unsupported technologies with their modern AWS counterparts.

Led the design of a communication service that enabled the business to have 2 way SMS communication between customers and sales partners for the first time. The service was the first in the company to utilise Lambda. I later held a brown bag session to explain the technology to the rest of the company and the reasoning for why I chose it.

I built an a new document upload component for the company website that enabled customers to safely upload sensitive documents such as passports, photo id's, insurance agreements and other documents in line with new GDPR requirements. I opted to build this using React/Redux which others on our team were not experienced with and used the project as a teaching opportunity.

Fixed implementation errors in the in-house CQRS system which I inherited.

Analysed confusing legacy code which had become a myriad of commands calling commands and replaced with a fully distributed Saga utilising the Routing Slip Pattern. Supporting both RabbitMQ and Azure Service Bus message brokers based on environment using dependency injection.

Implemented a centralised IdentityServer to replace the existing bespoke login system used in all web applications. Enabling single sign-on for users using Azure AD/Google/Facebook/Twitter etc.

Lead development from inception to delivery of a system, capable of running tasks/applications across multiple servers. Workers were configurable to use parallelisation where necessary. The system provided up to date performance data so that the business could perform valuable data analysis.

Redesigned a legacy data collection system written in Python with an up to date C# equivalent. This drastically improved the speed and reliability when gathering conversion and performance data from 3rd party APIs, and inserting it into client databases. The performance and conversion data was then matched across sources to allow for easier querying and path to conversion analysis. The data was fed into a dashboard to ensure accuracy before presentation to clients.

Designed and wrote a tool to automate the process of trafficking display campaigns into Atlas and DCM ad serving platforms. The tool greatly reduced the time needed to launch business critical advertising campaigns.