ADF Pipeline Templates

Production ADF framework for governed batch delivery

Lead with the business problem, summarize the load-orchestrate-validate pattern, show one architecture image if available, then use the repo for deeper technical review.

Operational decision support

Data platform teams need repeatable batch delivery patterns that reduce bespoke pipeline work, keep credentials governed, and surface failure conditions early enough for operational response.

Architecture and delivery pattern

• Watermark-based incremental load pattern reduces unnecessary reload volume and compute cost.
• Metadata-driven daily orchestrator runs source pipelines in parallel and centralizes execution control.
• Data quality checks run as a formal pipeline stage, not an afterthought, with rule and result tables.
• Key Vault-based secret references and control-table logging make the story credible for enterprise operations interviews.

Proof points

• Shows governed pipeline design rather than only UI polish.
• Provides concrete talking points for orchestration, DQ enforcement, and operational logging.
• Demonstrates how new sources can be onboarded with metadata instead of one-off pipeline sprawl.
• Can be presented credibly today as an architecture case study without recreating Azure Studio in the website.