Multi-Cloud, Data & Analytics
Modern Data Platforms & Lakehouse
We design and build modern data platforms that bring analytics, engineering, and AI workloads onto a governed, scalable foundation. The result is a more consistent data environment with less duplication, stronger controls, and better performance across teams.
What this involves
Modern data platforms need to support more than storage. They must handle ingestion, transformation, analytics, governance, security, and increasingly AI workloads — without becoming difficult to operate as data volumes and use cases grow.
WizeTek helps clients design and implement lakehouse and cloud data architectures that organize data into reliable, reusable layers. We support platform architecture, data modeling, pipeline design, governance, workload optimization, and production deployment across Databricks and modern cloud ecosystems.
Related
Also in Multi-Cloud, Data & Analytics
Data Modernization & Cloud Migration
Modernize legacy data environments and migrate workloads across Azure, AWS, Google Cloud, Oracle Cloud, and hybrid infrastructure — with a focus on architecture, performance, security, and operational continuity.
Data Integration & ETL/ELT Pipelines
Build reliable, automated data pipelines that integrate ERP, CRM, POS, APIs, databases, files, and external systems into a consistent platform for analytics and downstream applications.
Business Intelligence & Analytics
Turn trusted data into usable business insight through semantic models, dashboards, KPI frameworks, and self-service analytics using Power BI and modern cloud data platforms.
Talk to someone who has done this before
Tell us where you are and what’s in the way. We’ll tell you what we’d do first.