Solution

Building an E2E Data Infrastructure

This modern data infrastructure is designed to bring together disparate operational systems into a unified analytics environment. It enables seamless data ingestion, transformation, storage, and insight generation to support both operational and strategic decision-making across the organization.

Architecture Components

Source Systems

PoS, ERP, CRM, Order Management, HR/Payroll, Web & Marketing

Ingestion Layer

Airbyte, AWS Glue for API/database extraction

Storage Layer

Amazon S3-based data lake for centralized storage

Analytics Layer

Amazon Redshift Serverless for SQL-based querying

1. Source Systems (Data Producers)

The architecture integrates structured and semi-structured data from multiple business-critical systems:

Point of Sale (PoS) Systems
Enterprise Resource Planning (ERP)
Customer Relationship Management (CRM)
Order Management & Fulfillment
HR/Payroll Systems
Web & Marketing Platforms

2. Ingestion & Orchestration Layer

To pull data from the above systems at a regular cadence:

Airbyte handles API/database extraction with tailored connectors
AWS Glue orchestrates complex batch jobs for semi-structured data
Syncs scheduled 2–3 times daily for optimal freshness and performance

3. Storage & Data Lake Layer

All raw and cleaned data is persisted in an Amazon S3-based data lake, providing:

Centralized, durable, and low-cost storage
Scalability for structured and semi-structured formats
Support for historical audit trails and raw backups

Key Benefits

Unified View of Business

Across systems, channels, and departments

Reduced Manual Reporting

Through automated pipelines and dashboards

Scalable for Growth

Supports current needs and future AI/ML use cases

Self-Service Analytics

Business users can explore without writing code

Data-Driven Culture

Empowering decisions backed by trustworthy data

Ready to Build Your Data Infrastructure?

Let's discuss how we can transform your data landscape with our proven E2E infrastructure approach.