adibhanna

Applies distributed-systems, messaging, and integration patterns to architectural decisions, message contracts, runbooks, and launch decisions for event-driven, microservice, queue, broker, saga, outbox, CDC, workflow, scaling, resilience, and multi-region work. Utilizes technologies such as Kafka, RabbitMQ, SQS/SNS/EventBridge, Pub/Sub, NATS, Pulsar, Temporal, Step Functions, Debezium, CloudEvents, and AsyncAPI.