Aniket Raj

Avis Budget Group

• Utilized ksqlDB for real-time data transformation and aggregation within Kafka streams.
• Developed Producer and Consumer standalone applications with Avro, custom serializers, and de-serializers using Java Spring-Boot for enabling real-time data streaming.
• Invoked stored procedures in Kafka consumer services to map schemas dynamically and ensure seamless data transformations.
• Handled poison pill messages by implementing error-handling strategies in Kafka consumers to ensure message integrity and prevent failures.
• Managed PII data within Kafka consumer services by integrating Voltage API and implementing data masking and encryption techniques to comply with security and privacy standards.
• Worked on monitoring Kafka resources using Prometheus and Grafana

Jaguar Land Rover

• Automated GitLab CI/CD pipelines to streamline Kafka infrastructure provisioning and deployment.
• Managed Kafka cluster, topics and partitions across multiple environments (Dev, Test, Prod) using Terraform .
• Automated the provisioning of Confluent Cloud resources using Terraform on GitLab, including:
  - Kafka topics, schema registry subjects, and API key creation.
  - Kafka service accounts and RBAC roles for producers, consumers, admins, and Flink applications.
  - Kafka cluster link deployments for cross-cluster communication.
  - Deployment of Flink SQL statements for real-time data processing.
  - Security configurations such as Confluent security groups and tag bindings.
• Implemented security best practices, including RBAC, API key management, and Private Service Connect (PSC) for Kafka network isolation.
• Developed source/sink connectors (Datagen, Snowflake) for ingesting data from various sources and sinks.
• Configured Kafka Connect for Confluent Platform Using Confluent for Kubernetes.
• Worked extensively on RBAC (Role Based Access Control) and ACL (Access Control List) for managing access and permissions for different users and roles.
• Developed and maintained comprehensive documentation. Also, provided mentorship to junior Kafka developers and administrators to enhance their capabilities.

• Developed and enhanced web applications using Java and its frameworks for client-server environments.
• Utilized SQL to update and retrieve client details from databases efficiently.
• Integrated JDBC connectors within APIs to modify and update client details in the database.

Virtual Private Cloud.

• Monitoring the windows & VMware alerts and addressing the
  issues within the SLA.
• Co-coordinating with different teams and vendors for resolving issues within the SLA.
• Perform RTPA (READY TO PRODUCTION ACCEPTANCE) on Newly Provisioned Servers.
• Perform Provision & Decommission on Server.