Resume

1. Jun 2026 – Sep 2026

   Data Engineer (Contract Consultant)

   Exequt · client: US medical professional liability insurer

   • Led the technical audit and recovery of an AI-assisted migration from a legacy IBM i (DB2) system to a Microsoft Fabric warehouse, deployed entirely through CI/CD.
   • Modelled the claims domain (claims, payments, reserves, recoveries, reinsurance, written premium) for actuarial and finance users, reconciled to the legacy system after every load.
   • Cut Fabric capacity cost by ~80% by moving the always-on silver and gold layers to incremental loads on scheduled compute.
   • Found that the automated parity tests mixed up measure-level and table-level reconciliation, which made the migration look more accurate than it was. Redesigned validation and widened the goal to a governed enterprise warehouse.
   • Built the governance framework: load-audit and metadata tables, sensitivity and endorsement labels, and dynamic role-based access driven by Entra ID.
   • Restored point-in-time recovery by enabling time-travel retention on ~95% of bronze tables.
   • Owned Terraform across three roots (azurerm + Fabric) and the ticket → GitLab CI → Fabric delivery standard. Modular pipelines let a failed stage rerun on its own.
2. Jul 2022 – May 2026

   Data Engineer

   Emeria, London

   • Replaced Salesforce as the reporting source of truth for property data with a Snowflake warehouse consolidating Qube MRI, Reapit, DataStation and on-premises SQL Server, with Power BI reporting that saved 8 hours a week of manual processing.
   • Built reusable, parameterised ELT with Fivetran metadata, dbt vars, macros and artifacts, and Python UDFs, on a medallion architecture across AWS and Microsoft stacks.
   • Cut pipeline processing time by ~80% through table redesign, clustering, materialized views, parallel jobs and better orchestration.
   • Introduced Kimball modelling across the organisation, cutting report load time from 2 hours to 30 minutes.
   • Reduced health & safety data retrieval from 5 hours to 10 minutes with centralised reporting datasets.
   • Set engineering standards for version control, testing, deployment and IaC (GitHub, Terraform, CI/CD) in line with ISO 27001 and 9001.
3. Jul 2021 – Jul 2022

   Data Analyst Lead

   Modulr Finance, UK

   • Worked with data engineering on pipelines feeding management-information datasets; owned data governance through a CRM warehouse migration.
4. Feb 2019 – Jul 2021

   Data Analyst Specialist

   Tutora, UK

   • Automated manual data collection and reporting; built Python + Power BI customer segmentation.

Certifications