Data engineering and ETL pipelines: the backbone of analytics

1Introduction

Organisational data is scattered across accounting, sales, petty cash, HR and spreadsheets.

2Discussion

ETL extracts, transforms and loads into a warehouse; ELT loads raw data first and transforms in-warehouse.

Professional pipelines are automated, scheduled, monitored, idempotent and quality-checked; Airflow is a common orchestrator.

3Conclusion

Data engineering is invisible but underpins every report, dashboard and AI model.