PILLAR 1: FOUNDATION

Enterprise Data Engineering & AI Platform Solutions

Reliable AI models, seamless automation, and sharp analytics insights all require a powerhouse foundation. Our data engineering services deliver scalable pipelines, unified semantic layers, and strict governance frameworks to make your data enterprise-grade and fully trustworthy.

Schedule a complimentary 30-minute infrastructure blueprint session with our lead engineers.

Overview

Most data problems are foundational

Many companies invest heavily in data analytics, only to find their data teams bogged down by broken pipelines, slow queries, and untrusted data sources. As a data analytics company, we go beyond standard reporting. We engineer the underlying data platforms and automated pipelines that make your data clean, secure, and instantly accessible. Ultimately, we eliminate the engineering bottlenecks so you can shift from reactive troubleshooting to proactive, real-time business intelligence.

Common pain points that organizations face:

→ Our clients’ analysts and data scientists spend 80% of their time cleaning data and waiting for infrastructure setup rather than analyzing insights.

→ Decision-makers don’t trust the reports they receive because of broken pipelines, silent data failures, or unknown data lineage.

→ As analytics scale, cloud storage and compute costs query-by-query skyrocket out of control.

Our Services

Data Platform Engineering Capabilities

Our capabilities deploy secure, scalable pipelines that connect your organization’s technical capabilities directly to the business impact. We don’t just offer data pipelines, but we promise speed, reduced costs, and trust in your data.

Data Warehouse (DWH) & Platform Engineering

We engineer the automated, cloud-native storage and pipelines that eliminate data silos and runaway cloud costs, giving your business a central, high-performance engine room for all enterprise data.

Data Pipelines (ETL/ELT)

We build automated data pipelines that continuously ingest, clean, and deliver raw data from all your business applications straight to your dashboards without manual delays.

Semantic Layer Modeling

We build a single, centralized metrics layer that defines your business logic once, ensuring every department and AI model sees the exact same numbers.

Platform Operations

We keep your data environment running at high availability, catching pipeline bugs and data glitches before they ever reach your business leaders.

Case Studies

50% Faster Reporting via Microsoft Fabric

Migrated legacy analytics to a Microsoft Fabric Medallion Architecture, providing a unified, self-service workspace for data and governance teams.

Wind Energy Enterprise Integration

Transformed global wind turbine project management through enterprise data integration on the Microsoft Power Platform.

Wholesale Product Architecture Automation

Modernized a complex B2B product data ecosystem using intelligent automation to accelerate operational data workflows.

Leader Endorsements

Partnering with Expert Extend has transformed our business. Their expertise in data analytics and visualization has improved how we understand data and make decisions.

C Gaertner

Vice President, Renewables

Expert Extend quickly understood our needs and delivered a sustainable solution that transformed our Complex Product Data Ecosystem Management.

Martin Ganser

Chief Digital Officer, Berner Group

Expert-Extend has supported us in delivering several priority projects. Their proactive approach, delivery-focus and flexible execution makes them are liable partner for us.​

Alexander Knechtges

Group Head of Data and Analytics, ​Synlab SE​

Request for services

Are you looking to build a platform from scratch or modernize an existing legacy system?