Gopi Konda

WORK HISTORY

EDUCATION

ABOUT GOPI KONDA

Senior Kafka/Confluent Consultant with expertise in designing, deploying, and optimizing event-driven architectures. Specialized in Confluent Kafka Platform for real-time data streaming, integrating with enterprise systems, and leveraging advanced features like Schema Registry, ksqlDB, Kafka Connect, and Confluent Control Center. I have developed proficiency in Kafka API, Kafka Streams, Kafka Connect, and schema versioning and validation. My experience spans designing and managing data integration architectures and developing custom connectors that leverage Kafka’s core concepts. This experience has enabled me to build high-performance, scalable pipelines that meet the demands of real-time data processing.At PNC, Specializing in data-safe event streaming, I\'ve honed my expertise in Confluent Kafka architecture, ensuring seamless API lifecycle development and management. The transformative power of Kafka has been central to my role, enhancing user interfaces with modern technologies. Collaboration and adherence to Agile methodologies are the bedrock of our success, enabling us to iterate efficiently and maintain our commitment to excellence in real-time data processing. This synergy between technical acuity and Agile practice underscores my contribution to PNC\'s innovation-driven objectives. Worked as Onshore lead to gather business requirements and guided the offshore team on timely fashion. Closely worked with Kafka Admin team to set up Kafka cluster setup on the QA and Production environments. Designed and implemented real-time streaming pipelines using Kafka (Confluent Platform) to process millions of records per day. Developed Kafka Producers and Consumers in Java using confluent_kafka and Architecting Modern Event-Driven Solutions for Enterprise Growth. Streaming Architectures schema validation and data governance using Confluent Schema Registry (Avro/JSON). Optimized Kafka cluster performance, partition strategy, and message throughput for scalability and resilience. Built microservices with Flask and FastAPI integrated with Kafka to provide low-latency APIs for analytics. Developed Kafka Connect connectors for data ingestion from PostgreSQL and MongoDB to downstream analytics systems.Expert in: Monitor, troubleshoot, and fine-tune Kafka clusters using tools like Confluent Control Center, Grafana, or Prometheus and Proven proficiency in Kafka Connectors—from configuration to end-to-end integration in cloud environments.Strong background in platform governance: schema registry, RBAC, audit logging, retention, and compliance (reliability)