Back to Services

Data Pipeline Engineering

Our data pipeline engineering practice designs and operates mission-critical data infrastructure for enterprises processing billions of events daily. We architect systems that handle both real-time streaming and batch workloads with automatic failover, exactly-once delivery guarantees, and horizontal scalability built in from day one.

What's Included

  • Real-time streaming with Kafka, Kinesis, and Flink
  • Batch orchestration with Airflow and Prefect
  • Schema evolution and backward-compatible migrations
  • Automated data quality monitoring and alerting
  • Multi-cloud and hybrid deployment topologies
  • Sub-second latency for critical data paths