Real-time Analytics Pipeline

Architected and built a high-throughput analytics platform processing 50M+ events daily with sub-second latency, enabling real-time business intelligence and automated decision-making.

2024

Senior Staff Engineer & Data Platform Lead

Technology Stack

Apache KafkaApache FlinkClickHouseRedisPythonReactKubernetes

Challenge

Existing analytics were batch-processed daily, preventing real-time business insights and automated responses to user behavior.

Solution

Built streaming analytics platform with real-time processing, sub-second query responses, and automated action triggers.

Impact

50M+ events processed daily, 1000x faster insights delivery, 30% improvement in user engagement through real-time personalization.

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