Senior Data Engineer | 20+ years modernising ETL pipelines across UK public sector, banking, insurance, defence/police & telecoms | Transitioning to AWS Cloud Data Engineering ⚽
With over 20 years of hands-on experience designing, building, and migrating complex ETL solutions, I specialise in legacy system modernisation — most recently leading SAS 9.4 to SAS Viya projects in government environments.
I am now focused on translating my deep ETL expertise into modern cloud-native data engineering on AWS.
- Legacy Modernisation: Large-scale batch ETL processes using SAS Data Integration Studio, Base SAS, and related tools
- Regulated & Secure Environments: Extensive work in SC-cleared public sector and defense projects
- Industry Background: UK Public Sector, Banking, Insurance, Defence/Police, and Telecommunications
- Core Expertise: ETL design, data quality, performance tuning, data modelling, and enterprise data warehousing
Strengthening skills in:
- AWS Services: Glue, S3, Step Functions, Lambda, Redshift, Athena
- Languages & Tools: PySpark, Python (Pandas), SQL, orchestration with MWAA (Airflow)
- Practices: Data pipelines, quality frameworks, governance, and cost optimisation
Currently developing end-to-end AWS ETL pipelines using football datasets (Arsenal FC performance, Champions League, etc.) to apply modern cloud patterns in practice.
⚽ Passionate about Arsenal and football analytics.
Open to AWS Data Engineer, Cloud ETL, and Data Migration opportunities in London and the UK.