Google Cloud Platform (GCP) provides a flexible, reliable foundation for building data-driven organisations. At i-spark, we use GCP to design and operate scalable data infrastructures — from data ingestion and transformation to advanced analytics and machine learning.
Our team ensures your GCP setup is not just technically sound but fit for your team’s workflow — enabling faster insights, simpler maintenance, and a clear path toward growth.
Data Architecture Built for Scale
We help teams structure data environments that take full advantage of GCP’s ecosystem. From BigQuery and Cloud Storage to Dataflow, Pub/Sub, and Vertex AI, we design systems that balance performance, cost, and flexibility.
Whether you’re building your first data platform or expanding an existing one, we make sure your infrastructure supports reliable, repeatable, and transparent data processes.
Seamless Integration Across Your Stack
i-spark specialises in making GCP play nicely with the rest of your data stack. We connect your tools — like dbt, Fivetran, Looker, and Databricks — into efficient pipelines that keep data flowing smoothly from source to insight.
Our approach focuses on automation and observability: fewer manual fixes, clearer ownership, and faster troubleshooting when things go wrong.
Cloud Done Right
The cloud isn’t just about storage or compute — it’s about building a foundation that adapts. With GCP, we help teams optimise their workloads, adopt best practices for security and cost management, and prepare for future needs such as AI integration and real-time analytics.
By designing modular architectures, we give you flexibility without chaos — so your data systems can evolve as your business does.
Work With i-spark
At i-spark, we translate cloud complexity into clarity. Our GCP solutions are designed to help you connect, organise, and activate your data — securely and at scale.