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Data Pipeline for Marketing Analytics

10hrs → 0hrs

Reporting Time

8 integrated

Data Sources

100%

Report Accuracy

Real-time

Decision Speed

The Problem

A marketing team was pulling data from 8 different platforms manually, spending 10+ hours per week creating reports.

Strategy

Built an automated data pipeline: 1. **ETL Pipeline**: Automated data extraction from 8 platforms. 2. **Data Warehouse**: Centralized data for consistent analysis. 3. **Automated Reports**: Daily and weekly reports generated automatically. 4. **Dashboard**: Real-time marketing performance dashboard.

Tools Used

PythonAirflowPostgreSQLdbtMetabaseGoogle Cloud

Results

Eliminated 10 hours of weekly manual reporting by automating data collection from 8 platforms into a centralized analytics dashboard.