2020 Companies

Data Engineer

• Build Scalable Client Data Pipelines for scale from day one
• Develop and maintain Microsoft Fabric pipelines and notebooks
• Implement incremental loads, watermarking, and merge logic (Delta Lake)
• Design ingestion patterns that support rapid onboarding of new clients
• Engineer monitoring and observability to prevent SLA breaches while catching problems before clients do
• Design Lakehouse Models for Growth
• Implement Medallion architecture (Bronze/Silver/Gold)
• Build dimensional models for revenue-focused analytics
• Design reusable, scalable data structures across multiple clients
• Design data structures that don’t become someone else’s technical debt
• Optimize partitioning and storage for predictable performance
• Optimize Power BI Performance that Clients Actually Notice
• Improve Direct Lake and semantic model performance in Power BI
• Reduce refresh times and memory usage
• Partner with BI developers to maintain high modeling standards
• Improve Platform Efficiency That Protects Margin
• Monitor Fabric capacity usage and workload patterns
• Optimize refresh strategies and reduce compute spikes
• Contribute to GitHub workflow and future dbt integration roadmap

Senior Data Engineer – Microsoft Fabric