Abstract

Engineering across audited financial workflows, AWS-based systems, user-facing tools, and independent product design.

Over 6 years' experience on AWS investment-data platforms, with production ownership across ETL, data quality, event-based architecture, monitoring, and user-facing reporting.

Work

Phoenix Group (now Standard Life)

Cloud Data Engineer, AWS

Built an AWS-based investment data platform for the Asset Management team, serving hundreds of users across financial, actuarial, and ESG workflows in a tightly audited, fast-paced environment. The platform fed day-to-day investment decisions with c.£300bn under management, so timeliness, data quality, and traceability were central requirements rather than nice-to-have engineering concerns.

  • Held technical ownership of critical production flows, resolving urgent data issues across fund-manager feeds, enrichment jobs, and downstream reporting.
  • Designed and shipped the platform's generalised data-quality framework; configurable checks generate SQL from JSON/front-end rules and feed daily user screens and board-level metrics.
  • Optimised a daily BlackRock analytics enrichment feed used for investment insight, reducing runtime from 10 minutes to under 30 seconds.
  • Designed ETL for near-terabyte daily ISS ESG raw-file ingests, including parsing, cleaning, storage, and presentation.
  • Built event-driven monitoring and Slack alerting around S3, EventBridge, Lambda, and CDK-managed deployments.
  • Identified redundant Bloomberg requests and removed an estimated GBP 20,000 in annual data costs.

ReAssure

Trainee Business Intelligence Developer

Completed a Data Analyst Apprenticeship with Distinction, gaining foundational experience in data management and business intelligence. Oracle SQL databases, ETL workflows, file processing, BAU support, production data fixes.

Independent Work

rhune.co The digital liner note collection.

Built independently since October 2025. Tools for musicians to maintain digital discography notes, display releases and engage with listeners.

  • Design and build of full curated product where tactful design was central.
  • Analysed behavioural data from artist usage to iteratively optimise the note-writing flow, observing ~4x increase in content output per artist.
  • Built invite-based verified artist access, auth-flows, admin tools, listener submissions, notifications, and moderation controls.
  • Automatic catalogue ingestion via Spotify & Apple Music, careful API-limit handling.
  • Deployed Flask and Postgres on Render, with AWS SES for mail and S3 for storage.

Stack

Cloud

AWS CDK, CloudFormation, EventBridge, Lambda, Glue, Athena, S3, SES, IAM, DynamoDB, Step Functions.

Data

Python ETL, SQL, orchestration, staging, transformation, and data-quality frameworks.

Delivery

Bitbucket CI/CD, component tests, monitoring, Slack alerting, production support.

Interfaces

QuickSight, operational dashboards, data presentation, admin tooling, HTML, CSS, JS and UX / UI optimisation.

Notes

Education

  • BCS Data Analyst, Distinction, 2020.
  • Haberdashers' Adams Grammar.

Strengths

Fast technical delivery, production judgement, user-facing tooling, incident investigation, developer onboarding, and high-risk business change.