An expert brings the high-level technical oversight required to bridge the gap between Google Cloud and the Microsoft ecosystem. We specialise in mapping complex Big Query architectures to Fabric equivalents, ensuring your historical data remains intact while you optimise your new data environment for superior performance and cost-efficiency across the board.

Our transition strategy focuses on minimising operational downtime (and avoiding data silos) by implementing robust ETL pipelines that serve your long-term business intelligence goals.

Knowledge transfer is a fundamental part of our engagement model to ensure your team remains self-sufficient. We provide comprehensive technical documentation for every architectural decision made, and we can train your internal staff to manage the Big Query environment with total confidence after our project concludes.

• System Architecture: Detailed maps of your data lineage and warehouse structure.

• Query Best Practices: Guidelines for writing high-performance SQL to keep cloud costs low.

• Governance Manuals: Documentation on security protocols and access control management.

We assign specialists who have a deep history of delivering results within your particular sector, ensuring they arrive with an understanding of your unique data challenges. Whether you operate in retail analytics or complex financial services, our experts apply proven frameworks that are tailored to the specific KPIs and regulatory requirements that matter most to your IT leadership team.

This industry-aligned approach allows us to hit the ground running, reducing the discovery phase and accelerating the delivery of actionable technical insights.

A comprehensive audit is the most effective way to identify hidden inefficiencies (and unnecessary costs) within your current Google Cloud setup. Our experts perform a deep-dive into your table partitioning, query history, and indexing strategies to provide a clear roadmap for improvement before any new development begins. This process ensures your foundation is technically sound and aligned with global best practices for enterprise-level data warehousing.

A true expert must possess a rare blend of data engineering mastery and strategic architectural vision. They should be able to navigate the entire Google Cloud stack to build top-tier solutions that remain scalable as your data volumes grow, ensuring your infrastructure is both resilient and future-proof.

• Advanced SQL: Deep knowledge of analytical functions and cost-optimisation techniques for massive datasets.

• Data Modelling: Proficiency in designing Star Schemas or OBT models that improve query speed.

• Security Architecture: Expertise in implementing Column-level security and VPC Service Controls to protect sensitive assets.