Amazon Glue is a powerful data integration service that simplifies the process of connecting, transforming, and preparing data for analysis. At i-spark, we use Glue to help organisations streamline their data pipelines — reducing manual work, improving reliability, and keeping data consistent across the stack.
We design Glue-based solutions that integrate seamlessly with other AWS components like Redshift, S3, and Athena, ensuring your data flows smoothly from source to insight.
Smarter Pipelines, Less Maintenance
Manual ETL processes are slow and error-prone. With Amazon Glue, we build automated and scalable data workflows that adapt as your business grows.
Our team sets up everything from data discovery and schema management to job orchestration and monitoring, so you always know where your data is and how it’s being transformed.
Whether you’re migrating to AWS or modernising your existing stack, we make sure your pipelines are efficient, transparent, and easy to maintain.
Integration Across Your Data Ecosystem
i-spark helps teams connect Amazon Glue with the tools they already use — such as dbt, Databricks, or Looker — to create a unified data environment.
We ensure Glue jobs fit naturally within your data workflows, turning scattered data sources into a coherent, well-documented architecture that supports faster analysis and decision-making.
Built for Efficiency and Clarity
Our approach is always about reducing complexity. With Glue’s serverless architecture, we help teams focus on data logic rather than infrastructure.
From data cataloguing and metadata management to automated transformations, we make your data processes efficient, traceable, and optimised for cost and performance.
Work With i-spark
At i-spark, we believe automation should simplify, not complicate. Using Amazon Glue, we help teams create data pipelines that just work — cleanly, reliably, and at scale.