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Scalable API Data Aggregation Platform Enterprise Backend Case Study

A unified data aggregation platform engineered to fetch, normalize, and synchronize high-volume data from multiple APIs—built for enterprise scale, automation, and real-time analytics readiness.

Project Snapshot

Client

US-based Enterprise Data Provider

Industry

Data Analytics , SaaS , Enterprise

Service Category

· Backend Engineering, Data Engineering

Tech Stack

Python, Node.js, REST APIs, AWS Lambda, AWS RDS, Redis

Duration

 5 Months

Scale

12+ API providers · 10M+ records processed daily

Status

Live (Multi-agency deployment)

About This Platform

The client needed a centralized, high-performance data aggregation system capable of ingesting data from numerous external APIs, normalizing formats, and making aggregated datasets available to internal dashboards and partner systems.

 

Inexture built a fully automated, cloud-native ingestion engine optimized for speed, reliability, and large-volume data processing.

Client Requirements

Challenges We Solved

Our Solution & Architecture

We built a cloud-native, modular, auto-scaling ingestion ecosystem designed for high-volume API aggregation.

Technology Stack

A robust and scalable technology foundation powering seamless performance and future-ready growth

Backend / APIs

Data Processing

Database

Cloud & DevOps

What We Achieved

Business Impact showcases how our solutions translate into measurable results and real business value.
We focus on improving efficiency, accelerating growth, and delivering lasting competitive advantage.

Need a High-Performance Data Aggregation or API Platform?

Speak with our engineering team to build scalable ingestion engines, secure APIs, and enterprise-ready backend systems tailored to your organization.

Bringing Software Development Expertise to Every
Corner of the World

United States

India

Germany

United Kingdom

Canada

Singapore

Australia

New Zealand

Dubai

Qatar

Kuwait

Finland

Brazil

Netherlands

Ireland

Japan

Kenya

South Africa