Engineer the scalable, secure foundation your data strategy requires.
Modern data architecture is the backbone of every AI, analytics, and personalisation initiative. MDN.digital architects and engineers cloud-native data platforms that eliminate silos, automate manual processes, and provide secure, real-time access to business-critical information — built for scale, built for compliance, and built to last.
End-to-end architecture of modern data stacks — Data Warehouses, Data Lakes, Data Lakehouses, and Data Mesh — on Azure, AWS, or GCP. We design for performance, cost-efficiency, security, and regulatory compliance from the ground up.
Engineering robust, automated data pipelines that securely extract, transform, and load data from disparate source systems. We implement data quality checks, lineage tracking, and encryption at every stage of the pipeline.
Strategic migration of on-premise data infrastructure to secure, scalable cloud environments. We execute migrations with zero data loss, strict security protocols, and a structured cutover plan — including post-migration optimisation to reduce cloud costs.
Expert implementation of Databricks Delta Lake architectures for unified batch and streaming analytics. We design medallion architectures (Bronze/Silver/Gold), implement Delta Live Tables, and integrate Unity Catalog for governed, discoverable data assets.
Implementation of data quality frameworks and observability tooling to continuously monitor the health, completeness, and accuracy of your data assets. We integrate tools like Microsoft Purview, Great Expectations, and custom monitoring pipelines.
We follow a structured architecture review process — assessing your current landscape, defining target architecture, and delivering a phased migration or build plan. We work alongside your engineering teams, transferring knowledge and building internal capability throughout the engagement.
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