Traditional ETL can’t keep up with modern data volumes and complexity. We build intelligent data workflows that adapt, self-correct, and optimize data movement and transformation. Using AI and automation, we accelerate time-to-insight while maintaining data integrity and compliance. Your pipelines become smart, scalable, and self-aware.


What we can do with it:

  • Design metadata-driven ETL pipelines.

  • Automate data mapping and schema evolution.

  • Implement change data capture (CDC) mechanisms.

  • Build transformation logic with AI-powered anomaly detection.

  • Enable self-healing pipelines with error resolution.

  • Optimize job scheduling for resource efficiency.

  • Integrate structured and unstructured data sources.

  • Enforce data lineage and auditability.

  • Enable real-time streaming ingestion alongside batch.

  • Visualize pipeline health and performance metrics.