Four years in production

Sep 2024 – Present · Greater London, UK

Cloud data engineering for customer-facing banking products at one of the UK's largest retail and commercial banks (19M+ customers).

• Designed the data platform behind the NatWest International mobile banking app (100K+ downloads, 4.7★) — multi-region Kafka + S3 ingestion of real-time financial events across 20+ countries
• Built the payment, transaction-history and reporting data infrastructure powering Bankline Mobile, NatWest's corporate banking platform for high-value payment approvals
• Led the cloud data infrastructure for NatWest Accelerator — engagement analytics across 12 entrepreneur hubs nationwide
• Designed curated Snowflake models for payment approvals, 15-month transaction history and multi-jurisdictional regulatory reporting
• Orchestrated end-to-end pipelines with Apache Airflow, enforcing data governance aligned with banking regulations

Jul 2023 – Aug 2024

Multi-cloud enterprise data transformation programme managing 100TB+ of data.

• Cut ETL processing time 70% (12h → under 4h) via PySpark optimisation, repartitioning and execution tuning in Azure Databricks
• Delivered ~$30K/month in cloud cost savings through systematic Databricks and Snowflake workload optimisation
• Raised data reliability from 80% to 99.5% with quality frameworks, schema-evolution strategy and version-controlled dbt transformations
• Ran production pipelines ingesting 15TB/day at 99.8% uptime; near-real-time analytics contributed to $1M+ annual revenue uplift
• Automated provisioning and deployments with GitHub Actions + Terraform; built lakehouse workflows on Microsoft Fabric

May 2022 – Jun 2023 · Barcelona, Spain

SAP BW to Azure migration & Power BI reporting modernisation for manufacturing and logistics operations.

• Developed and maintained ETL processes using SSIS to extract data from SAP BW
• Created interactive Power BI dashboards for executive insights and KPI monitoring
• Automated recurring reporting workflows using Python and Excel VBA
• Supported migration of on-premise ETL processes to Azure Data Factory