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Purpose Built Solutions

Data Engineering

Data is omnipresent. Constantly evolving and churning, it is the life force of any business. The ability to harness it and unlock its full potential determines the trajectory of a business. We partner with our clients to solve complex problems of big data infrastructure and data engineering; with scalable analytics and data platforms that power digital experiences and provide actionable insights, we bolster data-centric business models. 

Client Stories

Building the Next-Generation Data and AI Platform for SiteMinder

SiteMinder is the global leader in hotel commerce, with 56,000 hotel customers that use its platform to generate more than AU$85 billion in revenue each year. As a category leader, maintaining its competitive edge was important and so it embarked on a journey of pioneering advanced AI capabilities, including an intelligent "Room Nights Forecasting" engine for its groundbreaking Dynamic Revenue Plus product, which uniquely provides hotels live market intelligence as local demand changes.The company faced significant bottlenecks upfront: Firstly, SiteMinder needed...

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Practical Testing Strategies for Databricks: A Software Engineer's Journey into Data Engineering

Ioseb Laghidze, a Solution Consultant at Sahaj Software, shared practical strategies for implementing disciplined and reliable testing practices in Databricks-based data engineering projects.Drawing from proven software engineering techniques, he demonstrated how data engineers can validate their pipelines more effectively by designing for testability from the ground up.The talk covered modularizing PySpark transformations for effective unit testing, setting up containerized local environments using PySpark, Delta, and Kafka, designing integration tests that simulate real-world data flows, incorporating testing strategies into CI/CD pipelines,...

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Data Drives Innovation and Growth at Australian Fintech

A tailored strategy combining software engineering, data engineering, and ML operations enabled data-led business decisioning for a fintech enterprise. Our client, a leading Australian non-banking fintech providing digital instalments and lending services to customers across Australia, New Zealand, and Singapore, was facing a unique challenge. Having acquired and integrated several small businesses over the years, the company was grappling with a mix of disparate and legacy systems and processes, making it extremely arduous to build critical components around Machine Learning...

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Blogs

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Observability for AI-Assisted Development

Developers using AI estimate they’re 24% faster. A randomised controlled trial measured them at 19% slower. That’s from METR’s 2025 study. These were experienced open-source developers working on their own codebases with tools...

AI Patterns AI/ML Coding Assistants Data Engineering Engineering Principles Platform Engineering

Karun Japhet

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The Judgement Pyramid: Reasoning vs Measurement

A team I was talking to had built a code-review skill in Claude Code. It looked good: a careful prompt, a set of rules, and examples. Then it shipped a PR with a...

AI Patterns AI/ML Code Quality Data Engineering Engineering Principles Platform Engineering

Karun Japhet

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The Unix Philosophy for Agentic Coding

Most people use AI coding agents backwards. They hand the agent a problem and ask it to solve the whole thing. The agent reads, reasons, generates, and hopes for the best. There’s a...

AI Patterns AI/ML Coding Assistants Data Engineering Platform Engineering

Karun Japhet

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