System Design
Data engineering system design interview rounds — 10 real-world scenarios with AWS, Azure & GCP implementations
Clickstream Data Pipeline
Real-time clickstream capture for targeted ads (Netflix-style)
Price Drop Notification System
E-commerce price monitoring & notification effectiveness measurement
Fitness Tracker Data Platform
IoT health data ingestion, modeling and analytics
Ride-Sharing Analytics Platform
Geospatial data storage, surge pricing and KPI analysis
1M Req/Sec Pipeline to Warehouse
Extreme-scale ingestion, backpressure handling and warehouse loading
User Churn Prediction Pipeline
Churn calculation, feature engineering and ML pipeline
Real-Time Fraud Detection
Low-latency payment fraud scoring with rule engine + ML
Streaming Recommendation Engine
Music/video personalization with collaborative filtering
Incremental Lakehouse Architecture
Legacy files + streaming + CDC into unified lakehouse
CDC Pipeline for Data Lake
Database change capture, schema evolution and replication
Batch Reconciliation System
Multi-source transaction reconciliation, idempotency, partial upstream failures
Nightly ETL & Data Warehouse Pipeline
SCD Type 2, incremental loads, DAG dependency ordering, late-arriving data, DQ gates
Customer 360 & Identity Resolution
Entity resolution, golden record, PII tokenization, GDPR erasure across 6 source systems
Large-Scale Historical Backfill
Resumable 15TB backfill, partition checkpointing, live pipeline isolation, rollback strategy
Financial Month-End Close Pipeline
Intercompany elimination, multi-currency FX conversion, SOX audit trail, 47-country consolidation