Data pipeline architecture
Artifact
Case Study
Advanced analytics and reporting platform with real-time dashboards, predictive modeling, and enterprise data integration.
45+
Data sources integrated
<3s
Report generation time
94%
Prediction accuracy
Enterprise clients struggled with fragmented data across dozens of systems. Existing BI tools required weeks to build reports, couldn't handle real-time data, and lacked predictive capabilities. Executives made decisions on stale information.
Built a unified BI platform with pre-built connectors for 45+ data sources. Real-time streaming pipeline processes events as they happen. ML models provide sales forecasting, churn prediction, and anomaly detection. Drag-and-drop report builder lets business users self-serve.
Documents and deliverables from the project
Data pipeline architecture
Artifact
Verification report
Release gate
6-phase checklist before release
Platform serves 12 enterprise clients with 500+ active users. Reports that took days now generate in under 3 seconds. Predictive models achieve 94% accuracy on sales forecasting. Now available as AnalyticsPro Enterprise SaaS product.
45+ source types with different APIs, schemas, and auth methods. Built an abstraction layer with plugin architecture that normalizes everything into a unified data model.
Billions of rows, complex aggregations. ClickHouse columnar storage with pre-computed materialized views and intelligent query caching delivers consistent performance.
Business users aren't SQL experts. Drag-and-drop interface generates optimized queries behind the scenes. Visual query builder handles joins, filters, and aggregations.
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