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ELT Framework (Fabric, Databricks & On-Premise Lakehouse)

A flexible ELT/ETL framework designed to seamlessly integrate across Microsoft Fabric, Databricks, and our on-premise lakehouse. Powered by Python notebooks and platform-native ingestion tools.

Key Features

  • Cross-platform compatibility (Fabric, Databricks, On-Premise)
  • Modular Python-based notebooks for data transformation
  • Built-in support for Fabric ingestion tools
  • Scalable pipelines with minimal maintenance overhead

Benefits

  • Simplifies data integration across hybrid environments
  • Reduces time-to-insight with streamlined workflows
  • Minimizes engineering complexity with reusable components
  • Ensures consistent data quality & governance

Use Cases

  • Companies running hybrid data infrastructures
  • Teams needing reliable pipelines across multiple platforms
  • Enterprises standardizing on Fabric or Databricks