Customer Data Import Gateway Service

This architecture diagram, titled Customer Data Import Gateway, represents a robust, event-driven, secure, and scalable pipeline for ingesting files from external customer systems into a cloud-native data processing backend. It integrates the AWS Transfer Family solution, malware scanning, routing, error handling, and customer-specific processing—all within AWS server-less infrastructure .

🔁 End-to-End Flow Breakdown:

🧍‍♀️ Customer Interaction

• Customers initiate file transfers via:

  • AWS Transfer Family using SFTP or AS2

  • Direct S3 uploads to the Customer B2B S3 bucket

  • Planned integration with public REST APIs

📥 Data Ingestion Layer

• Files enter the Data Ingest Endpoints and are deposited into the S3 Landing Bucket

• An event is triggered (via S3 or EventBridge)

🛡️ Security Scanning

• Files from the Landing Bucket are picked up by a Cloud Security Scanner:

  • If malware is detected, the file is moved to the S3 Quarantine Bucket

    • This triggers:

      • An Error Handler Lambda

      • Alerts/paging via an integrated Alert System and Ticketing System

      • Human triage/escalation

✅ Clean File Routing

• If the file is clean, it's moved to an S3 Clean Customer Bucket

• A Routing Lambda:

  • Retrieves customer-specific configurations from DynamoDB

  • Directs the file to the appropriate Application or Data Processing Pipeline

🔄 Downstream & Monitoring

• Event-driven processes ensure:

  • Ingested files are routed to the correct business workflow

  • CloudWatch provides logging/metrics

  • EventBridge handles orchestration and decoupled event distribution

✅ What This Architecture Accomplishes:

• Secure, multi-protocol ingestion Supports SFTP, AS2, and direct S3 uploads

• Malware detection Inline scanning via Sophos; infected files are quarantined

• Automated routing Dynamic routing using Lambda + DynamoDB stored customer configs

• Auditing and alerts Full observability via CloudWatch, alerts via a paging system, and ticket generation

• Error handling with escalation Quarantine triggers Lambda → alert → ticket → human triage

• Modular and scalable Event-driven, serverless architecture with clear decoupling of components

• Customer-specific workflows Per-customer configurations drive downstream processing logic

🧩 Key AWS Services Involved:

• AWS Transfer Family (SFTP/AS2) – External ingestion

• Amazon S3 – Storage: Landing, Quarantine, Clean

• Lambda – Custom logic: Error handling, routing, downstream ingest

• EventBridge – Event-based orchestration

• Amazon CloudWatch – Monitoring & logs

• DynamoDB – Stores customer-specific routing/configuration

• Ticket System & Alerting System – Operational visibility & response — You may want to use something like ServiceNow and/or PagerDuty

💡 Common Use Cases:

• Pharmaceutical, healthcare, or B2B SaaS companies needing secure, automated ingestion of sensitive partner data

• Enterprises handling many customer-specific workflows and needing observability and fail-safes