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I will design cloud data engineering azure solution
About this Gig
I design and implement production-grade Azure data engineering solutions, scalable ETL pipelines, and modern Lakehouse architectures.
With 8+ years of enterprise experience, I help companies migrate, modernize, and optimize their cloud data platforms using Microsoft technologies.
My Core Expertise
Azure Data Factory
- Complex ETL/ELT pipelines
- Orchestration & triggers
- Incremental loads & CDC logic
- Error handling & monitoring
Microsoft Fabric
- End-to-end analytics architecture
- Lakehouse & Warehouse setup
- Semantic models
- Performance optimization
Azure Databricks
- PySpark transformations
- Delta Lake architecture
- Bronze / Silver / Gold implementation
- Partitioning & Z-order optimization
- Cluster sizing & cost tuning
SQL & Data Modeling
- Advanced SQL transformations
- Dimensional modeling
- Star schema design
- Query optimization
Python
- Scalable data processing
- API integrations
- Automation & data validation
What I Build
- Azure Data Factory workflows
- Databricks Lakehouse architectures
- Modern cloud data warehouses
- API-based ingestion systems
- On-prem to Azure migrations
- Enterprise-ready data platforms
Selected Results
- Optimized Spark workloads, reducing runtime by 60%
- Designed Lakehouse platform processin
FAQ
Do you work with Azure only?
Primarily Azure, Fabric & Databricks, but I can adapt to GCP/AWS.
Do you handle API integrations?
Yes — REST APIs, ERP systems, CRM, marketing platforms.
Do you provide long-term support?
Yes, ongoing support and optimization available.
