Turning a group company accountant into a data engineer
Summary
This article explains how to turn a group-company accountant into a data engineer using low-code tools and familiar spreadsheet workflows. It walks through extracting data from ERP systems and Excel, transforming it with mapping, joins, and conditional logic, and loading it into databases such as PostgreSQL. It also shows how low-code ETL platforms can reduce reliance on custom Python development and speed up routine finance data integration tasks. The core message is that finance teams can automate reporting and data consolidation without heavy engineering effort.
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