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Case Study

Data Pipeline: EAM, Navision, SCADA into BigQuery

Automated ETL pipelines from multiple operational systems into a centralized BigQuery data warehouse.

Data Engineering ETL

Sector

Utilities

Duration

6 months

Stack

Python, BigQuery, Infor EAM, Navision, SCADA

Services

Data Engineering, ETL

The Challenge

The Challenge

Operational data siloed across CMMS, ERP, and SCADA. Consolidated reporting required manual extraction and Excel reconciliation.

The Solution

The Solution

Built automated Python ETL pipelines to extract, transform, cleanse, and load data from all source systems into Google BigQuery.

Key Features

  • Automated extraction from EAM, Navision, SCADA
  • Data cleansing and transformation
  • Scheduled pipeline execution
  • Data quality monitoring
  • Centralized BigQuery warehouse

Technologies Used

Python BigQuery Infor EAM Navision SCADA
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