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Title: Towards Practical Data Automation for Global Supply Chains

Author: Your Name (DDMeer)

Abstract

We present a practical system for end-to-end data automation across multi-site manufacturing. The system integrates heterogeneous sources (S3, RDBMS, REST) and orchestrates pipelines with robust testing and observability. Our approach reduces operational toil and enables faster, data-driven decisions for engineering and business stakeholders.

Keywords

Data Engineering, ETL, Streaming, Snowflake, dbt, Airflow, Supply Chain Analytics

Highlights

• Unifies 10+ data sources with consistent schemas and validations
• Star-schema marts for analytics, monitored with Prometheus/Grafana
• Proven cost and latency reductions in production environments

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