Services
We offer tailored services to help organisations unlock value from their cloud data platforms, whether you're running on Azure, AWS, or a hybrid model:
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✅ Platform Architecture Reviews
Comprehensive assessments of your current or planned data architecture to identify risks, inefficiencies, and opportunities for scalability. Whether you're using Azure Synapse, Fabric, Databricks, or AWS Redshift/Lambda, we'll ensure your platform is built on a strong, adaptable foundation.
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✅ Azure & Databricks Deployments
Hands-on support designing and deploying secure, cost-effective data platforms using Azure-native services (e.g., Data Factory, Event Hubs, Data Lake, Databricks). I also assist with AWS data stacks like Glue and S3 where needed.
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✅ DataOps & CI/CD Automation
Implementing streamlined deployment pipelines and operational processes using Azure DevOps, GitHub Actions, or Terraform. This includes test-driven workflows, environment branching strategies, and artifact versioning for data pipelines across cloud platforms.
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✅ Cost & Resource Optimization
Auditing and refining your infrastructure with a FinOps lens—tagging, monitoring, and rightsizing resources across Azure and AWS. I help teams gain transparency and control over their data platform costs, enabling better financial planning and forecasting.
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✅ AI Readiness Workshops
Tailored sessions to assess your platform’s readiness for AI and advanced analytics. Covering everything from data governance, lineage, and observability to foundational modeling patterns that support machine learning, cognitive services, or GenAI workloads.
