Microsoft Fabric Development

Pro

Andreas Watts

Starting at

/hr

About this service

Summary

My service delivers custom-built data solutions on Microsoft Fabric, tailored to your business needs. Whether you're building new data pipelines, optimizing existing workflows, or enabling advanced analytics, I design scalable and efficient system aligned with your goals.

My focus is on creating robust, high-performance data infrastructure using best practices in data modeling, ETL development, and orchestration.

FAQs

Can you work with existing data systems?
Absolutely. I can integrate with your existing data sources (e.g., cloud storage, databases, APIs) and enhance or migrate legacy pipelines into Microsoft Fabric.
Will the data pipelines be optimized for performance and cost?
Yes. I apply best practices for Delta Lake, cluster configuration, and code efficiency to ensure optimal performance and cost management.
How long does the project take to complete?
This totally depends on the scope of work. The amount of data, the complexity of the data, the amount of integrations etc.
Do you provide documentation and training?
Yes. You'll receive clear, well organised documentation, and I’m happy to provide walkthroughs or training sessions for your team if needed.
Can you help with machine learning or advanced analytics?
Definitely! I can build and deploy ML models in Microsoft Fabric.

What's included

Fabric Workspace Setup
Fully configured Microsoft Fabric workspace with security, data warehouse, lakehouse, notebooks etc. tailored to your project needs.
Data Pipeline Development
Robust ETL/ELT pipelines natively in Microsoft Fabric with PySpark & notebooks or using data factory pipelines.
Data Modeling
Design star schemas and apply best practices to ensure high-performance querying and analytics at scale.
Data Orchestration
Design and implement reliable data workflows inside of Microsoft Fabric, and potential integration with orchestration tools like DAGster or Prefect.
Semantic Layer
Unified business intelligence by implementing semantic models with centrally defined measures, KPIs and definitions.
Dashboards & Report Visualisation
Dashboard and report building in Microsoft Fabric using Power BI.
Cost Optimization
Audit of your current implementation to find potential cost optimisations.
ML & AI Enablement
Build and deploy machine learning models inside of Microsoft Fabric.
Documentation & Maintainable Code
Clean, modular codebase designed for scalability, and documentation for handoff to your internal teams.