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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

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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Driving Data-led Decision-making through Data Engineering for Superior Business Impact

Springer Nature is a global academic publishing company that advances discovery by publishing trusted research. Following the 2015 merger and subsequent growth with the acquisition of products, the company’s workflows became inundated with multiple systems and different data models driving article submissions from authors - a key business process.  Data analysts across different teams would use several manual processes while navigating a complex ecosystem of multiple data stores to build an aggregate view of the business, identify trends and support...

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Blogs

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Prompting Is Architecture: Why Understanding Systems Matters More Than Ever

A Spark story about scale, grain, and why speed makes system awareness non-negotiable. Image generated using ChatGPT The Setup: When “Correct” Code Still Fails Recently, I ran into a Spark job that looked...

AI/ML Apache Spark Architecture Data Engineering LLMs Performance Tuning Writing prompts

Swapnil Prakash Sankla

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Designing OLAP Schemas by Query Shape

How we learned that schema purity matters less than matching the natural grain of your queries. Image generated using ChatGPT Setting the Scene: Digital Billboards and Audience Targeting Before we talk schema design,...

ClickHouse Data Engineering OLAP Performance Tuning Schema design

Swapnil Prakash Sankla

Agent-Assisted Story Crafting: Shaping Your Stories with AI

We’ve all been immersed in the hype surrounding Generative AI. It’s becoming a critical part of business operations, whether for sales, support, or analysis. As a techie, I’ve also been exploring how to...

Agile AI Agents Cursor Data Engineering GenAI Platform Engineering

Reevon Esperdio Rodrigues

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