I will build azure data pipelines using adf, databricks, and ms fabric
Data Engineering Expert and Cloud Solutions Architect
About this Gig
Harness the full power of Microsoft's data ecosystem with enterprise-grade Azure pipelines that integrate seamlessly with your existing infrastructure.
Struggling with Microsoft stack integration? Need Azure-native solutions that work perfectly with Office 365 and Power BI? I'm a Microsoft Certified Azure Data Engineer specializing in the complete Azure ecosystem.
What You'll Receive:
- Azure Data Factory pipelines with advanced monitoring
- Databricks integration for big data and ML processing
- Microsoft Fabric implementation for unified analytics
- Power BI connectivity for seamless business intelligence
- Cost-optimized architecture maximizing Azure investment
- Enterprise security with Azure AD integration
My Azure Expertise:
Microsoft Certified Professional with 13+ years Azure experience, implemented solutions for 50+ organizations.
Complete Azure Stack: ADF, Databricks, Synapse, Data Lake Gen2, Microsoft Fabric, Power BI
Why Choose Me:
- Microsoft Certified - proven Azure ecosystem expertise
- End-to-end Microsoft integration
- Cost optimization for maximum ROI
- Enterprise-grade security and compliance
Other Data Engineering Services I Offer
FAQ
Do I need expensive Azure licenses for these pipelines?
No! I design cost-optimized solutions using pay-per-use ADF pricing, auto-scaling Databricks, lifecycle-managed storage, and serverless SQL pools with detailed cost estimates.
How does Microsoft Fabric compare to traditional Azure services?
Fabric unifies data engineering, warehousing, and BI in one interface with built-in governance and OneLake storage, eliminating data silos versus separate ADF/Synapse services.
Can you integrate with on-premises SQL Server databases?
Absolutely! I specialize in hybrid architectures using self-hosted integration runtimes, secure connectivity, minimal-downtime migrations, and network security configurations.
What happens if pipelines fail or encounter data issues?
I build enterprise resilience with comprehensive error handling, retry mechanisms, data quality checks, Azure Monitor logging, and automatic alerts with resolution steps.
How do you optimize Azure pipelines for performance and cost?
Multiple strategies: parallel processing, optimal file formats, auto-pausing resources, reserved capacity, lifecycle policies, and Azure Cost Management with ongoing optimization recommendations.
