Confluent Kafka Developer – P2PSoftTek Inc – Dallas, TX, US

10+ years of experience in building real-time, event-driven applications using Java/Python, Kafka, and Flink
Strong experience with containerization and deployments on AKS/EKS (Azure/AWS)
Proven expertise in building scalable, high-volume streaming solutions using Kafka and Flink
Experience in modernizing legacy integrations to real-time streaming architectures
Hands-on experience in building CI/CD pipelines for Kafka and Flink deployments
1. Confluent Kafka / Apache Kafka

Kafka topic design and partition management
Producer/consumer configuration and optimization
Schema Registry setup and governance
Kafka broker setup, scaling, and load balancing
Kafka Connect configuration and troubleshooting
2. Confluent Flink / Apache Flink

Flink JobManager and TaskManager setup and configuration
Stateful stream processing and checkpointing
State management and persistence for intraday processing
Real-time aggregations and windowing
Scaling and performance tuning of Flink jobs
Batch and streaming unification
3. Real-Time Architecture Design

Event-driven architecture design and best practices
Data mesh concepts and implementation
Kafka and Flink integration patterns
Multi-source data ingestion and aggregation into Kafka topics
Downstream consumer and API integration design