Data EngineeringDelivered

Data & Machine-Learning Platform for a Payments Leader

A delta-lake platform that drove $2M+ in new revenue

Designed and built a data & machine-learning platform for a publicly-listed payments processor: 20 Azure pipelines on a delta-lake architecture, processing 5TB daily across 40+ source systems and unlocking $2M+ in new revenue.

PythonPySparkAzureAzure Data FactoryAzure SynapseAzure Data LakeDatabricksARM TemplatesSQL

Problem Statement

A payments leader held huge volumes of data it could not fully use. The data was fragmented across regions and source systems, and daily volumes strained the existing infrastructure, so the business struggled to turn raw transactions into insight and revenue.

Data fragmented across 3 regions and 40+ source systems.
Existing infrastructure strained under multi-terabyte daily volumes.
Scalability and performance limits capped data-driven revenue growth.

Headline Outcomes

$2M+scalable analytics

New revenue unlocked

5TB40+ sources

Daily data processed

+100%delta-lake redesign

Scalability & performance

The Solution

A data & ML platform on Microsoft Azure: 20 big-data pipelines on a delta-lake architecture spanning Azure Data Factory, Synapse and Databricks, built to integrate 40+ source systems and process 5TB of data every day.

Designed 20 big-data pipelines with Azure Data Factory, Synapse and PySpark.

Delta-lake architecture on Azure Data Lake and Synapse for ACID-grade processing.

Integrated 40+ source systems across 3 regions, processing 5TB of data daily.

Secured with IAM, Azure DevOps, VMs and VNets for enterprise scale.

System Architecture

How the data flows

40+ Source Systems

3 regions

Azure Data Factory

20 pipelines

Delta Lake

ACID processing

Synapse + Databricks

Analytics & ML

Insight & Revenue

5TB/day · 80k clients

Result 01

Unlocked $2M+ in new revenue through scalable analytics and ML.

Result 02

Served 80,000 clients with integrated data from 40+ source systems.

Result 03

Doubled scalability and performance via a delta-lake redesign.

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