Description
Orchestrate, transform, and move your data with precision. This blueprint delivers a production-grade, cloud-native ETL solution that blends Python scripting with Airflow DAGs and AWS Glue-ready jobs. Built for enterprise-grade ingestion and transformation tasks, it includes schema enforcement, failover retries, and log-based monitoring for robust dataflows. Whether you’re normalizing IoT streams or loading large datasets into Redshift, this kit ensures data integrity and performance at scale.
Key Features:
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10+ prebuilt DAGs for common ETL use cases
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Modular connectors for S3, BigQuery, Snowflake, and SQL DBs
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Integrated alerting with Slack and CloudWatch
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Full data schema validator and JSON schema converter
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Cron-based or event-driven pipeline support
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Pre-optimized for Spark and Pandas backends