Akhil Kondapaneni Email & Phone Number

Toronto, Ontario, Canada

- Developed a hybrid connect solution using Confluent for Kubernetes (CFK) to integrate on-premises Confluent Kafka Connect with Confluent Cloud.- Leveraged Confluent's Secret Provider for externalizing secrets, ensuring secure management of sensitive data across hybrid Kafka Connect deployments.- Utilized Single Message Transforms (SMT) to clean Change Data Capture (CDC) records from Debezium connectors.- Integrated RBAC into Confluent Control Center to enable authentication and secure access for the hybrid connect project.- Implemented Cluster Linking via CFK to mirror on-premises topics on Confluent Cloud, enabling efficient data replication and failover.- Successfully migrated from on-premises Confluent Platform to Confluent Cloud, ensuring seamless integration and enhanced cloud capabilities.- Created and conducted detailed workshops on Apache Flink, covering foundational concepts as well as advanced topics like stateful stream processing, windowing, and event time processing. These workshops were designed to empower teams with the skills needed to leverage Flink for real-time data processing.- Extensive Flink SQL Query Development: Wrote complex Flink SQL queries to handle various use cases, including real-time analytics, data enrichment- Designed and implemented stream processing pipelines that integrated Apache Flink with Kafka. This included setting up Flink jobs that consumed Kafka topics, applied real-time transformations, and produced results back to Kafka or other sinks.- Developed custom Flink jobs tailored to meet specific business needs, such as real-time fraud detection, monitoring, and predictive analytics. These jobs utilized advanced Flink features like keyed state, timers, and custom operators.- Managed and deployed Flink clusters on Kubernetes, ensuring high availability, scalability, and efficient resource management.

Toronto, Ontario, Canada

- Spearheaded the development and deployment of the first automated self-serve Kafka connect project on the Azure cloud platform, helped our tenants move data from Azure EventHub onto Kafka topics. This played a pivotal role in the launch of Scene+ platform.- Developed automated scripts to securely pull sensitive data from Azure Key Vault, required for spinning up Kafka Connect and connectors. This implementation improved the overall security posture and streamlined the provisioning process. This also ensured that we leverage a centralized Vault for all secret management tasks- Played a major role in the development of a Node.js encryption library used in all Kafkajs applications.- Successfully integrated data encryption at rest using libraries from Confluent and in-house teams, ensuring data at rest is encrypted within the topics.- Built robust producer and consumer applications in both Java and Node.js leveraging Confluent Kafka- Leveraged Kafka Connect and Connect SMTs (Single Message Transforms) for data transformation and filtering wherever required, enabling seamless data processing and enhancing data quality in real-time- Worked extensively on the Schema Registry side of things, especially for Java and Node.js applications. Implemented schema evolution strategies and versioning techniques, ensuring seamless compatibility and data integrity across different application versions.- Proved instrumental in resolving critical issues in production and elsewhere, leveraging expertise in Kafka and other tools.

Master Of Engineering - Meng, Electrical And Computer Engineering

Bachelor Of Technology - Btech, Electronics And Communication Engineering