kafka developer

• Modernized legacy microservices and event-driven integrations by implementing scalable, Kafka-based solutions. • Designed and developed Apache Flink services for real-time Oracle-to-Kafka stream processing, data transformation, and event streaming. • Migrated applications from Spring Boot to Quarkus, reducing memory consumption by 40% and significantly improving application startup times. • Replaced IBM App Connect integrations with high-performance Quarkus microservices to improve integration efficiency and application performance. • Implemented data replication pipelines using IBM InfoSphere to stream data from VSAM files into Kafka topics. • Leveraged Argo CD for GitOps-based deployments and continuous delivery across OpenShift environments. • Enhanced system observability, fault tolerance, and service resiliency through circuit breakers, retry mechanisms, and robust error-handling strategies. • Utilized SQL for data validation, troubleshooting, and supporting integration-related requirements across enterprise applications. • Possesses a Bachelor's or Master's degree in Computer Science, or a related field, with a strong foundation in software engineering principles. • Holds relevant certifications such as the Confluent Certified Developer for Apache Kafka, demonstrating proven expertise. • Demonstrates 3+ years of hands-on experience in building and managing Kafka clusters in a production environment, showcasing practical skills. • Exhibits a deep understanding of distributed systems, message queues, and real-time data streaming principles, reflecting core knowledge.