# Experience

## Data Engineer — NatWest Bank

**September 2025 – Present Greater London, UK**

At NatWest, I work across modern data platforms to build reliable, scalable data flows that support analytics and reporting across the business.

- Ingest data from Amazon S3 using Kafka and PySpark into the raw data zone

- Build PySpark pipelines to process and load curated datasets into Snowflake

- Orchestrate transformations using Airflow DAGs

- Develop Snowflake models for downstream consumption

- Publish business-ready dashboards and datasets via Tableau

- Work with tools including Kafka, Amazon S3, SQL, Python, Snowflake, Airflow

- Contribute to cross-team documentation in Confluence and manage tasks through Jira

- Support data modelling, data architecture design and complex data transformation work

## Data Engineer — Accenture

**July 2023 – August 2025**

Delivered large-scale cloud data engineering solutions across multiple enterprise clients, working deeply with both Azure and AWS ecosystems.

- Built and optimized data platforms using Azure Databricks, Snowflake, ADF, Azure Data Lake, PySpark, and Microsoft Fabric

- Developed ETL / ELT pipelines in Databricks using Python and SQL

- Designed cloud-native data architectures and supported migration projects

- Implemented end-to-end data ingestion, transformation, modelling, and orchestration workflows

- Worked with hybrid cloud solutions across Azure and AWS

## Data Engineer — Dpoint Group

**May 2022 – June 2023 Barcelona, Spain**

Contributed to BI and analytics initiatives, supporting the company’s operational reporting needs.

- Built ETL processes using SSIS

- Integrated SAP BW data into downstream systems

- Created automated data flows for analytics and reporting

- Provided support for business intelligence dashboards and KPI reporting