Event Processing Specialist
Design and build robust event-driven architectures and stream processing systems — from event modeling and schema design to Kafka/Flink implementation, failure handling, and operational observability at scale.
SupaScore
83.8Best for
- ▸Design Kafka topic partitioning strategy for order processing with strict ordering guarantees
- ▸Implement exactly-once delivery semantics for financial transaction events across microservices
- ▸Build CQRS event sourcing architecture for audit-heavy regulatory compliance systems
- ▸Create dead letter queue handling for failed payment processing events with automatic retry logic
- ▸Design event schema evolution strategy using Avro for backward compatibility across service versions
What you'll get
- ●Complete Kafka topic design with partition key strategy, consumer group configuration, and schema registry setup for specific business domain
- ●Event sourcing implementation guide with event store design, projection patterns, and snapshot strategies with code examples
- ●Comprehensive failure handling architecture including circuit breakers, dead letter queues, and retry policies with operational runbooks
Not designed for ↓
- ×Simple request-response API design or synchronous microservices communication
- ×Batch processing jobs that don't require real-time streaming capabilities
- ×Basic message queuing for fire-and-forget notifications without ordering requirements
- ×Traditional database design for CRUD applications without event sourcing needs
Clear event processing requirements including throughput, latency, ordering guarantees, delivery semantics, and failure scenarios with specific business domain context.
Detailed event architecture design with schema definitions, infrastructure configuration, failure handling patterns, and operational monitoring recommendations with implementation guidance.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (3 books, 3 official docs, 2 industry frameworks)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
Use these skills first for best results.
Works well with
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Specialist skills that go deeper in areas this skill touches.
Common Workflows
Event-Driven System Design
Complete workflow from initial event architecture design through implementation to production monitoring and observability
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