Skip to content
All Projects
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 scalable 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 was sitting on a goldmine of data it could not fully exploit. Fragmented across regions and source systems, with daily volumes straining the existing infrastructure, the business struggled to convert raw transactions into scalable 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 robust, scalable data & ML platform on Microsoft Azure — 20 big-data pipelines on a delta-lake architecture spanning Azure Data Factory, Synapse and Databricks, engineered by an agile team to integrate 40+ source systems and process 5TB of data every day.

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

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

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

Hardened with IAM, Azure DevOps, VMs and VNets for enterprise scalability and security.

System Architecture

How the data flows

01

40+ Source Systems

3 regions

02

Azure Data Factory

20 pipelines

03

Delta Lake

ACID processing

04

Synapse + Databricks

Analytics & ML

05

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.

Build Something Like ThisMore Case Studies
Available for new work

Have a data, analytics, or AI problem worth solving?

From ETL pipelines to cloud warehouses and self-hosted AI, let's scope the work with clear outcomes. I reply within one business day.

Start a ProjectConnect on LinkedIn