Multi-Cloud, Data & Analytics
Data Integration & ETL/ELT Pipelines
Reliable analytics and AI depend on reliable data movement. We build production-grade pipelines that connect operational systems, cloud platforms, APIs, files, and streaming sources — with the orchestration, monitoring, and controls needed to keep data flowing.
What this involves
Data integration is more than moving information from one system to another. Pipelines need to handle changing schemas, incremental loads, failures, dependencies, data quality, and growing volumes without becoming difficult to maintain.
WizeTek designs and implements batch, near-real-time, and streaming pipelines using modern ETL and ELT patterns. We integrate data from ERP, CRM, POS, APIs, databases, files, and external platforms, then build the transformation, orchestration, testing, and monitoring required for dependable downstream analytics and applications.
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.
Modern Data Platforms & Lakehouse
Design and implement scalable data platforms and lakehouse architectures using technologies such as Databricks, Delta Lake, medallion architecture, and Unity Catalog for governed analytics and AI.
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.