Data Integration Hub — Centralized ETL Platform
How Tedbin built a centralized ETL platform processing 100K+ records, unifying billing, marketing, and e-commerce data into actionable dashboards.
Project Overview
The business had data in over a dozen different systems — billing software, marketing platforms, e-commerce backends, CRM tools, and spreadsheets. Getting a complete picture of business performance meant someone spending hours every week manually pulling reports from each system and combining them in Excel. Errors were common, numbers rarely matched between departments, and by the time a report was ready, the data was already stale. Tedbin built a centralized data hub that automatically collects, transforms, and unifies data from all sources.
ETL Pipeline Architecture
The platform uses a robust Extract-Transform-Load pipeline that connects to every data source in the business. Each connector handles the specifics of its source — API pagination, rate limits, authentication, data format quirks — while feeding into a standardized data model. The transformation layer handles deduplication, currency conversion, date normalization, and business rule application. Processing over 100,000 records regularly, the pipeline runs on a schedule with automatic retry logic and alerting for any failures.
Unified Dashboards & Reporting
With clean, unified data, we built dashboards that give every team the metrics they need. Marketing sees campaign performance across all channels in one view. Finance gets automated revenue reconciliation instead of manual spreadsheet work. Operations tracks inventory levels, fulfillment times, and customer satisfaction scores in real time. The dashboards are self-service — team leads can filter, drill down, and export data without waiting for someone to build a custom report.
Results & Impact
The data hub eliminated the weekly hours of manual reporting work and replaced it with real-time, always-accurate dashboards. Discrepancies between departments disappeared because everyone now references the same data source. The automated reporting freed up analyst time for actual analysis rather than data collection. The business discovered several cost-saving opportunities that were only visible when data from multiple systems was combined — insights that were hiding in the gaps between separate spreadsheets.
