Data Engineering · Clinical

CDISC Clinical Data Pipeline

An end-to-end automated SDTM/ADaM workflow orchestrated with Dagster for reproducible clinical data processing.

Context

Clinical data standardization

Date

2025

Role

Developer

Context

Cross-team clinical pipelines often rely on manual handoffs, which increases delays and validation effort.

Approach

  • Asset orchestration across SDTM and ADaM layers
  • Automated QC checks and consistency controls
  • Regulatory-ready export modules

Solution

The pipeline standardizes derivation, quality checks and export steps in a single reproducible orchestration.

Key outcome

More reliable clinical data production with shorter cycles from raw data to analysis-ready datasets.