Mission: Build ETL Data Processing
Create extract-transform-load pipelines connecting source systems to your data warehouse with quality assurance.
Mission Overview
This mission deploys a specialized AI squad to handle set up etl pipeline. Your squad of 3 specialized agents works in parallel, delivering results in 2-4 weeks.
ETL pipelines are the plumbing that connects your operational systems to your analytical layer, and leaky plumbing corrupts every downstream report and dashboard. This mission deploys your AI squad to build extract-transform-load pipelines connecting your source systems to your data warehouse with quality assurance at every stage. Forge builds source connectors, implements ELT processing where raw data loads first then transforms in the warehouse using dbt for maximum flexibility, and configures scheduling based on your freshness requirements. The squad implements schema evolution detection with automated alerts for column additions, removals, and type changes that could break downstream processes. ShipSquad ETL pipelines are built as maintainable production systems, not fragile scripts that break when source schemas change. Error handling with retry logic ensures transient failures do not create data gaps, and freshness monitoring alerts your team when data falls behind schedule. We support refresh frequencies from real-time streaming with Kafka or Pub/Sub to hourly, daily, or weekly batches. The mission delivers in 2-4 weeks with reliable data flowing from your operational systems to your warehouse for analysis.
What You Get
- ✓ Source system connectors
- ✓ Data extraction scheduling
- ✓ Transformation logic with validation
- ✓ Warehouse loading procedures
- ✓ Error handling and retry logic
- ✓ Data freshness monitoring
Your AI Squad
Frequently Asked Questions
ETL or ELT?▾
ELT is preferred for modern cloud warehouses — load raw data first, then transform in the warehouse using dbt for flexibility and speed.
How frequently can data be refreshed?▾
From real-time streaming to hourly, daily, or weekly batches — we design refresh frequency based on your business requirements.
How do you handle schema changes?▾
We implement schema evolution detection with automated alerts and configurable handling for added, removed, or modified columns.