Streaming & Real-Time Data Processing

• Design and develop real-time streaming pipelines using Databricks Structured Streaming.
• Build and maintain Kafka-based ingestion frameworks.
• Handle late-arriving events using watermarks, event-time processing, and stateful streaming concepts.
• Implement exactly-once processing and checkpointing mechanisms.
• Monitor and optimize streaming workloads for performance and reliability.

Spark Declarative Pipelines (SDP) & Delta Live Tables (DLT)

• :
  Design and implement Spark Declarative Pipelines using Databrick
• s.Develop Delta Live Table (DLT) pipelines for scalable data transformation
• s.Implement data quality expectations, validations, retries, and failure h...