Python · Microsoft Fabric Engineer

Showcasing data engineering expertise

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About Me

Transforming Legacy Systems into Cloud-Native Architectures

Stepping into a migration project of national scale, I quickly learned that transforming legacy systems isn’t just technical—it’s strategic. As a Microsoft Fabric Certified Data Engineer, I specialize in the design and implementation of metadata-driven data pipelines and scalable medallion cloud-native architecture. At the NHS Business Services Authority, I contribute to one of the UK’s largest data platform transformations—re-architecting legacy Oracle-based systems onto a modern, cost-optimized Microsoft Fabric environment. This initiative involves complex ETL/ELT pipeline orchestration, data model refactoring, and the integration of Fabric onelake and Lakehouses to support enterprise-grade analytics and Machine Learning Models. This transformation underpins services that support the priorities of the NHS, government, and local health economies, enabling the management of approximately £48 billion in NHS spending annually.

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Data engineering highlights

Showcasing my skills and projects

Ingest data with a pipeline in Microsoft Fabric

This project demonstrates the implementation of a complete data ingestion and transformation pipeline using Microsoft Fabric and Apache Spark. It simulates a real-world data engineering workflow by ingesting external sales data via HTTP, storing it in a Lakehouse (OneLake), transforming it using PySpark notebooks, and automating the entire ETL process within a Fabric pipeline.

GitHub Repository
Analyzing Snapshot Serengeti data with Microsoft Fabric

This project demonstrates the process of managing and analyzing the Snapshot Serengeti dataset using Microsoft Fabric, focusing on data loading, transformation, and machine learning. Key tasks include configuring a Data Factory pipeline to move data from Blob Storage to a Lakehouse, converting JSON files into Parquet format, and performing data exploration and transformation with Apache Spark.

GitHub Repository
star schema Model for developer insights reporting

Designed a data model to analyze global developer demographics, average age by continent, popular tools/platforms, language preferences, and education paths. .

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