Mission
Give leaders and operators data they can trust — fast enough to act on, clear enough to share, and sound enough to stake decisions on.
Shard Data Solutions helps organizations turn complex data into clear, actionable insight on Microsoft Azure and AWS. For more than 25 years we have delivered data engineering, platform engineering, analytics, and AI programs for public and private sector teams — built to scale and stay reliable under pressure.
End-to-end support across pipelines, cloud platforms, and reporting — so your teams spend less time wrestling with data and more time using it.
Trusted by organizations that need dependable delivery at scale.
About Us
We are a specialist data partner focused on engineering, cloud, and intelligence. Our work sits at the intersection of technology and outcomes: trustworthy pipelines, well-run cloud environments, and reporting people actually use. That combination has kept us engaged with public and private sector clients for over two decades.
Give leaders and operators data they can trust — fast enough to act on, clear enough to share, and sound enough to stake decisions on.
A quarter-century of hands-on delivery across government, enterprise, and regulated environments where quality and accountability matter.
Solutions engineered for longevity — observable, maintainable, and sized to grow as your data estate and ambitions do.
Our Services
Three practice areas on Azure and AWS — plus the platforms underneath them — so your data estate works harder for the business.
Ingestion, transformation, and platform design — pipelines that are documented, monitored, and ready for the workloads you run today and the ones you are planning next.
Landing zones, Kubernetes (AKS / EKS), CI/CD with Azure DevOps and GitHub Actions, and infrastructure as code with Terraform — built to meet security and ops standards.
Power BI, Tableau, Microsoft Fabric semantic models, Amazon QuickSight, Synapse, Redshift, and Athena — reporting teams adopt and trust.
Azure OpenAI Service, Azure Machine Learning, Amazon SageMaker, and Amazon Bedrock — from pilots to governed production workloads.
Current platforms we implement across data engineering, platform engineering, analytics, and AI.
Clients
We work with teams that need rigor as much as speed — from public agencies to commercial operators. Client logos and case studies can be added here as they are approved for publication.
Long-term partnerships are built on consistency — clear communication, dependable execution, and platforms that still make sense years after go-live.
Contact Us
Tell us what you are building — a new platform, a migration, or a reporting refresh. We will respond with practical next steps.