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data-pipeline-monitoring

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This Project demonstrates the Technology shift in Automobile Firm to resolve the data engineering challenge of manual data ops. AWS Cloud Services implemented here as: S3 bucket for lake storage incoming batches, Lambda Python Script for automating the validation function call and Glue Crawler to generate relational table with successful testing.

  • Updated Apr 27, 2024
  • Python

Building a next-generation hybrid data pipeline architecture that combines the power of Microsoft Fabric, Azure Cloud, and Power BI. This pipeline is engineered to tackle the challenges of real-time data ingestion, multi-layered processing, and analytics, delivering business-critical insights.

  • Updated Dec 29, 2024
  • Python

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