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End-to-End Azure Data Pipeline — Reliable Data Integration (≈€29.1k/year)

Robust integration between ADF, Databricks and Synapse to move and transform data from raw CSVs to analytical gold tables.

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Problem

Disconnected scripts and manual copy steps caused integration failures, duplicate processing, and inconsistent schemas.

Solution

ADF orchestrates ingestion, Databricks runs transformations, and Synapse stores gold tables with views for Power BI.

Outcome

Fewer integration errors, ~€29,120 estimated annual savings from time + error reduction, near real-time/ nightly data availability.

Technology Stack

Azure Synapse
ADF
Databricks
Data Integration

Implementation Approach

Here's how we designed and built this solution:

  • ADF pipelines to orchestrate file ingestion (bronze layer) and trigger Databricks.
  • Databricks notebooks for cleaning and writing parquet to silver layer.
  • Load to Synapse dedicated SQL pool and create governed views for consumers.

Solution Showcase

📸 Solution View
End-to-End Azure Data Pipeline — Reliable Data Integration (≈€29.1k/year) - Main solution screenshot

💡 Want to see this in action? Book a demo to explore the full solution.

Could This Work for Your Business?

If you have:

Manual processes eating 10+ hours/week

If you use:

Microsoft 365 (Teams, SharePoint, Excel)

If you want:

Similar results in 5-20 days

Then yes — let's talk.

Book Free 30-Min Audit

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