Amazon Web Services (AWS) is one of the most complete and flexible cloud platforms — and at i-spark, we use it to build robust, future-ready data infrastructures. Whether it’s storage, transformation, or analysis, AWS gives us the tools to design systems that are both scalable and cost-efficient.
We help organisations use AWS not just as hosting, but as a strategic backbone for their entire data ecosystem. From first setup to advanced analytics, our focus is on making every process simpler, faster, and easier to maintain.
End-to-End Data Workflows
Our work with AWS covers the full data lifecycle — from ingestion to insight. We design and deploy architectures that combine services like S3, Glue, Redshift, and SageMaker into seamless, automated workflows.
By integrating these components, we ensure data moves predictably, transformations are transparent, and insights are accessible where and when they’re needed.
Optimised for Performance and Cost
Cloud infrastructure should make data handling easier, not more expensive. That’s why we help teams optimise resource usage, automate scaling, and adopt monitoring practices that keep costs predictable without sacrificing speed.
We focus on performance tuning, observability, and resilience, so your data systems stay efficient and reliable — even as your workloads grow.
Integration Without Complexity
AWS works best when it connects smoothly with the rest of your stack. i-spark integrates AWS with tools like dbt, Databricks, Looker, and Hightouch, ensuring your data flows consistently from collection to activation.
This approach helps teams maintain one version of the truth — no silos, no duplication, just connected data powering smarter decisions.