Real-Time Data Engineering with Kafka & Spark

Learn the complete lifecycle of real-time data engineering with Apache Kafka and Spark through hands-on projects that mirror production challenges at companies like Netflix, LinkedIn, and Uber. This comprehensive specialization teaches you to design high-availability streaming architectures, optimize Kafka clusters for millions of events per second, implement exactly-once processing semantics, manage schema evolution without downtime, and build real-time dashboards that power instant business decisions. Starting with Kafka performance tuning and progressing through Spark Structured Streaming, CDC pipelines, and production orchestration, you'll gain the skills to architect, implement, and operate enterprise-grade streaming systems. Each course includes practical labs where you'll configure distributed systems, diagnose performance bottlenecks, handle failures gracefully, and deploy pipelines that transform high-velocity data into immediate business value

• Design and optimize Kafka clusters for high throughput and fault tolerance
• Build end-to-end streaming pipelines with Spark Structured Streaming and exactly-once semantics
• Implement real-time dashboards and disaster recovery for enterprise streaming systems

• Basic familiarity with data engineering terms
• Readiness for applied exercises or case studies