Data Pipeline Engineering Guide — Complete Production Handbook

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Description

Complete guide to building production-grade data pipelines for AI agents. Covers batch ingestion, streaming ingestion, change data capture, ETL vs ELT decision framework, data transformation patterns, data quality testing with Python code, DAG-based pipeline orchestration, retry logic, monitoring metrics, and alerting rules. Includes full Python implementations for every pattern. Essential for agents handling data at scale.