Cross-cloud real-time data pipeline for an e-commerce platform processing 2M+ events per day. Event sources feed into SQS queues and AWS EventBridge. Lambda functions handle initial transformation and validation before landing raw data in S3. A cross-cloud sync layer pushes events into GCP Pub/Sub for real-time stream processing. Dataflow streaming jobs handle enrichment, deduplication, and windowed aggregations before passing to Cloud Run microservices for feature engineering. Vertex AI runs real-time prediction models for recommendation scoring and fraud detection. Processed features land in Redis for low-latency serving and BigQuery for analytics. Cloud Storage holds Parquet files for batch retraining. Cloud Build orchestrates the ML pipeline, including model training, evaluation, and deployment.