Airline Data Ingestion Pipeline — AWS architecture diagram

About This Architecture

Event-driven airline data ingestion pipeline orchestrating CSV uploads through S3, EventBridge, and Step Functions to validate and transform flight data across multi-AZ Glue ETL jobs. Data flows from S3 uploads through EventBridge triggers into Step Functions, which coordinates parallel Glue ETL jobs in separate availability zones for validation and transformation. The architecture writes clean data to RDS Primary with standby failover, routes errors to S3, and sends pipeline alerts via SNS to operations teams. Fork this diagram on Diagrams.so to customize VPC subnets, add Lambda enrichment steps, or integrate with your data lake architecture.

People also ask

How do I build a scalable event-driven data pipeline on AWS that validates airline data and handles failures?

This diagram shows an AWS data pipeline triggered by S3 uploads via EventBridge, orchestrated by Step Functions to run parallel Glue ETL jobs across two availability zones. Data is validated, transformed, and written to RDS Primary with standby failover, while errors route to S3 and alerts notify operations via SNS.

Airline Data Ingestion Pipeline

AWSintermediatedata-engineeringETLserverlessmulti-AZevent-driven
Domain: Data EngineeringAudience: Data engineers building serverless ETL pipelines on AWS
4 views0 favoritesPublic

Created by

August 19, 2026

Updated

September 25, 2026 at 6:20 PM

Type

architecture

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