Integration & Data Engineering

Build. Connect. Scale. Trust.

Seamless data engineering and integration, without the silos.

Data is only valuable when it flows seamlessly across your organisation. Our data engineering consulting designs and builds robust, scalable data pipelines that connect your systems, standardise your data, and create a reliable foundation for analytics, AI, and activation. Built on Google Cloud, our solutions ensure your data is always available, trustworthy, and ready to support business decisions. From initial assessment through architecture design, pipeline engineering, and ongoing platform operations, we deliver this as an end-to-end engagement, not a one-off integration project.

Engineering a Reliable Data Foundation

Most organisations aren't short on data. They struggle because their data is fragmented, low quality, or arrives too late for decision-making. Setting up a collection of cloud tools isn't enough to solve this, what makes the difference is the technical architecture that turns raw sources into reliable insights.

Our approach to integration and data engineering begins with a solid Google Cloud foundation. We focus on creating clean, well-governed, and scalable data pipelines that can grow with your business. By combining proven engineering practices with cloud-native services on Google Cloud, we ensure your data is not just integrated, it's reliable, performant, and future-proof.

We don't believe in one-off pipelines. We build reusable, automated, and monitored data flows that support analytics, AI, and operational use cases across your organisation.

Our engagements typically start with a thorough assessment of your current data landscape and business requirements. From there, we design a platform architecture that fits your specific needs, followed by detailed implementation planning and operational governance, the rules for how data is handled, stored, and accessed to keep the platform stable and clear as it grows.

 

Google Cloud Partner Data Engineering

 

 

What Integration & Data Engineering Enables

With Crystalloids as your data engineering partner, you gain more than connected systems. You gain confidence in your data and the flexibility to innovate faster. We help you to:

Integration & Data Engineering Solutions We Deliver

Modern platforms need to handle both batch and real-time data. Traditional batch processing remains important for deep historical analysis, while real-time streaming is increasingly required for time-sensitive decisions. The services below are the building blocks we combine into pipelines that handle both, without doubling your maintenance workload.

Application Integration (Google Cloud iPaaS)

A cost-effective, low-code and no-code solution for integrating operational and external applications. Designed for high-volume scenarios with a pay-as-you-go model, eliminating upfront capacity costs. Includes standard connectors for platforms such as Salesforce Marketing Cloud and Dynamics 365, enabling seamless integration without custom development.

Explore Google Cloud Application Integration

API Management with Apigee

Apigee simplifies API management and governance, making APIs easy to publish, secure, and monitor. With an intuitive interface, teams can manage APIs without backend complexity, ensuring scalable, secure, and cost-effective API integration across the organisation. 

Custom Connectors using Application Integration

Not every system offers a reliable, ready-made integration. We design and maintain custom connectors that integrate business-critical platforms directly into your Google Cloud data foundation.

  • Built as production-grade, reusable solutions

  • Designed to handle API limits and schema changes

  • Monitored and maintained as part of your platform

Available connectors include:

Dataflow for Integration Services

Dataflow accelerates data processing and transformation with fully managed, serverless pipelines. Automatic scaling and infrastructure management allow teams to focus on building pipelines while maintaining performance and cost control.

Pub/Sub for Data Ingestion

Pub/Sub enables reliable, real-time data ingestion and distribution across systems. With automated server management and elastic scalability, it supports event-driven architectures without operational overhead or budget surprises.

DataOps & Platform Operations

A platform's value depends on how it performs under real-world workloads. We apply DataOps practices, infrastructure-as-code, automated monitoring, and continuous performance tuning, to keep your environment predictable and easy to update. Combined with active cost monitoring, this keeps cloud spend under control as your data volumes grow, preventing the platform from becoming a costly technical burden.

The Power of Partnership

Why Choose Crystalloids and Google Cloud

By partnering with Crystalloids and Google Cloud, you gain access to:

7 application integration challenges (and how to overcome them with Google Cloud)