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.