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Real-time data aggregation engine

A data and API layer for real-time aggregation, multi-source normalisation, and dependable delivery of market and news data to downstream products.

Engagement
API & data engineering
Surface
Backend services consumed by multiple client products
Focus
Data engineering, API architecture, reliability
API endpoints
35+
upstream sources
15
database tables
25+

Overview

The platform exposes endpoints for market, portfolio, and content workflows while ingesting and normalising data from multiple exchanges and news providers behind consistent contracts.

Challenge & goals

Aggregated data products fail when sources disagree silently, rate limits are an afterthought, or query patterns outgrow the first schema. Downstream teams needed predictable payloads, defendable caching, and auth matching real access patterns.

  • Stable API contracts across dozens of endpoints
  • Normalisation that survives source format drift
  • Operational controls for performance and failure modes

Delivery approach

Ingestion, storage, and read paths aligned around observable behaviour: traceable transformations, explicit versioning assumptions, and load-sensitive query design.

Engineering highlights

Multi-table modelling tuned to production query paths, caching and rate-control structure, and authentication layers that match how client applications call the service.

Outcomes

A backend surface that is easier for product teams to integrate against, with clearer expectations for freshness, limits, and error handling.

Data engineeringAPI architectureReliability

Questions we get asked

Do you publish live performance metrics here?

No. This case study summarises delivery focus areas. Commercial metrics stay with the client.

Is there a public demo URL?

This platform powers client products rather than a standalone site. Details here are descriptive, not a public API catalogue.

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