Data Pipeline Architecture Review

Review this data pipeline architecture and provide optimization recommendations: Pipeline purpose: {{purpose}} Data sources: {{sources}} Current stack: {{stack}} Data volume: {{volume}} Latency requirements: {{latency}} Analyze: 1. Architecture diagram critique (bottlenecks, single points of failure) 2. Data quality checks and validation strategy 3. Error handling and dead letter queue design 4. Monitoring and alerting recommendations 5. Cost optimization opportunities 6. Scaling strategy for 10x growth 7. Data governance and lineage tracking 8. Recommended tech stack changes with justification Provide before/after architecture comparison.