• Designed a scalable and robust architecture for the Schema-Registry service, considering factors such as schema storage, versioning, compatibility checks, and security, aimed at replacing the existing Confluent Schema Registry.• Developed a clean and intuitive API for schema registration, retrieval, and compatibility verification, following RESTful principles and providing comprehensive documentation.• Orchestrated the deployment of the Schema-Registry service in a production environment for 21 regions with one master region for registering schemas and schemas being replicated via mirror-maker and ensuring seamless integration with existing systems.• Developed migration service to facilitate the transition from Confluent Schema Registry to our new internal service, ensuring data integrity with minimal disruption.• Provided extensive documentation and conducted training sessions to onboard teams to our new schema registry.• Developed custom Kafka Connect connectors and transformations to integrate diverse data sources and sinks like databases, cloud services, and file systems, enabling seamless data flow across heterogeneous environments.• Orchestrated data ingestion, transformation, and enrichment processes using Kafka Streams, leveraging windowing, aggregations, and stateful processing to perform complex event-driven computations in real time for analytics.• Developing data plane for oracle fusion engage team using temporal for workflow management. This includes building the workflow framework for other teams to write their workflows on.