Case Study
Automated ETL pipelines from multiple operational systems into a centralized BigQuery data warehouse.
Sector
Utilities
Duration
6 months
Stack
Python, BigQuery, Infor EAM, Navision, SCADA
Services
Data Engineering, ETL
Operational data siloed across CMMS, ERP, and SCADA. Consolidated reporting required manual extraction and Excel reconciliation.
Built automated Python ETL pipelines to extract, transform, cleanse, and load data from all source systems into Google BigQuery.
Technologies Used
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