Microsoft Fabric Data Pipelines
Get started with Fabric data pipelines. We design and implement production-grade data engineering workflows — from ingestion through transformation to serving — using Fabric Data Factory, Spark notebooks, and OneLake.
From Raw Data to Business Insights
Every analytics initiative starts with reliable data pipelines. We build the data engineering foundation that feeds your Lakehouse, Warehouse, and Power BI reports — with enterprise-grade reliability, monitoring, and performance.
Start Building PipelinesYour Data Is Only as Good as Your Pipelines
Unreliable pipelines mean stale dashboards, missed SLAs, and decisions based on yesterday's data. Our production-grade pipelines deliver fresh, validated data on schedule — every time.
Build Reliable PipelinesPipeline Capabilities
From data ingestion to orchestration — everything for enterprise-grade data engineering.
End-to-End Data Engineering
From architecture design to production monitoring — the full data pipeline lifecycle.
Pipeline Architecture Design
Design scalable ETL/ELT architectures with medallion patterns, proper partitioning, and incremental loading for enterprise data volumes.
Data Factory Configuration
Configure Fabric Data Factory pipelines with 150+ connectors, parameterized datasets, and reusable pipeline templates.
Spark Notebook Development
Build PySpark and Spark SQL notebooks for complex transformations, data cleansing, and business logic implementation.
Lakehouse & Warehouse Loading
Implement optimized loading patterns for Delta tables with partitioning, Z-ordering, and vacuum strategies.
Orchestration & Scheduling
Set up pipeline orchestration with dependencies, triggers, tumbling windows, and event-driven execution.
Monitoring & Alerting
Build monitoring dashboards with alerting via Teams and email for pipeline failures, SLA breaches, and anomalies.
Our 4-Phase Pipeline Methodology
From source analysis to production monitoring — structured delivery that minimizes risk.
Assessment & Design
Map your data sources, transformation requirements, and target schemas to design the optimal pipeline architecture
Build & Configure
Develop pipelines, notebooks, and dataflows with proper error handling, logging, and parameterization
Test & Validate
Run data quality checks, reconciliation reports, and performance testing against production-scale data volumes
Deploy & Monitor
Production deployment with CI/CD, monitoring dashboards, alerting rules, and runbook documentation
Reliable Data, Better Decisions
Production-grade pipelines that deliver fresh, validated data on schedule — every time.
Production-Ready in Weeks
Our accelerator templates and proven patterns get your first data pipeline running in production within 2-4 weeks, not months.
Enterprise Reliability
Comprehensive error handling, retry logic, and monitoring ensure your pipelines run reliably at scale with minimal manual intervention.
Optimized Performance
Proper partitioning, incremental loading, and parallel execution reduce pipeline run times by 60-80% compared to naive implementations.
Seamless ADF Migration
Existing Azure Data Factory investments are preserved and enhanced as we migrate pipelines to the native Fabric experience.
Self-Service Enablement
We train your team on pipeline development patterns so they can build and maintain new pipelines independently.
Why Al Rafay Consulting for Data Pipelines
ARC has built hundreds of data pipelines across Azure Data Factory and Microsoft Fabric. Our engineers bring deep expertise in enterprise data integration, medallion architecture, and performance optimization.
- Accelerator templates for common pipeline patterns
- Proven medallion architecture (Bronze/Silver/Gold) designs
- ADF-to-Fabric migration expertise
- Real-time and batch pipeline design
- Comprehensive monitoring and alerting setup
Frequently Asked Questions
How do Fabric pipelines differ from Azure Data Factory?
Can we migrate existing ADF pipelines?
What data sources can Fabric pipelines connect to?
How do you handle pipeline failures and monitoring?
What is Microsoft Fabric and how is it different from Power BI?
Ready to Build Your Fabric Data Pipelines?
Our data engineers will design, build, and deploy production-grade pipelines that deliver reliable data to your Lakehouse, Warehouse, and Power BI reports.