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Manjunathask/README.md
Manjunatha Header

🚀 Building Scalable Data Platforms & Automated Pipelines

Data Engineer based in Manchester, UK. I specialize in modernizing legacy infrastructure, building Medallion Architectures, and orchestrating containerized workflows.

Previously optimized SQL performance by 40% and improved reporting cycle times by 70% at Romo Group.

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🛠️ Engineering Stack



🏆 Featured Architecture: NHS Data Pipeline

The Challenge: Simulate and process high-volume A&E patient data to track wait-time breaches and ward occupancy in real-time.

End-to-End Medallion Architecture

Architecture Diagram

Key Engineering Features

  • Orchestration: Dockerized Apache Airflow managing dependencies and retries.
  • Data Modelling: Bronze (Raw) &to; Silver (Clean/Upsert) &to; Gold (Star Schema) architecture in MS SQL Server.
  • Logic: Complex T-SQL MERGE statements for idempotent loads and SCD Type 1 updates.
  • Simulation: Custom Python scripts generating realistic patient journeys and ward census data.

GitHub Stats Top Languages

Currently preparing for Microsoft Fabric Data Engineering (DP-700).

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