Redshift intake with Glue, Step Functions, and Athena

Design the landing and curated zones

• Use paired S3 buckets for raw and processed data to isolate retention and security policies.
• Schedule Glue crawlers over curated parquet outputs so analysts and BI tools discover updates instantly.
• Keep Glue scripts in source control and version buckets so data engineering can roll forward/back quickly.

Author Glue transforms that Redshift loves

Normalize data once with Glue Spark jobs and surface consistent schemas downstream.

• Parameterize Glue jobs with bucket paths, database names, and run IDs to keep staging deterministic.
• Emit metrics and job bookmarks so reruns handle late-arriving data without duplicates.
• Package unit tests with PyDeequ or pytest to validate assumptions before Glue jobs write curated parquet.

Orchestrate, log, and alert with Step Functions

• Model the pipeline as a Step Functions state machine that kicks off Glue, issues Redshift COPY commands, and publishes success events.
• Attach CloudWatch alarms to state-machine failures and notify stakeholders via SNS topics so ingestion incidents surface quickly.
• Use EventBridge schedules or upstream events to trigger executions instead of cron jobs on EC2 instances.

Visualize data quality and warehouse health

• Run Athena queries against curated parquet to debug data shape issues before they hit production tables.
• Join Glue metadata with Redshift system tables to monitor load durations, row counts, and costs in dashboards.
• Compare spend between serverless Redshift (pay for actual consumption) and provisioned ETL clusters to guide scaling decisions.

Walk through the CloudFormation reference

Demonstrate how each managed service fits the operational story.

• Resources:
    GlueSparkJob:
      Type: AWS::Glue::Job

  Shows the single source of truth for transformation parameters and logging configuration.

• Resources:
    IntakeStateMachine:
      Type: AWS::StepFunctions::StateMachine

  Highlights the orchestration logic that replaces cron-based ETL scripts.

• Resources:
    RedshiftCopyRole:
      Type: AWS::IAM::Role

  Illustrates the fine-grained IAM needed for COPY commands without long-lived credentials.