Principal Power BI Developer
1. Data Visualization & Migration (The "Front-End")
Expert Power BI: Advanced DAX Power Query and Performance Tuning.
Legacy Modernization: Converting SSRS (Paginated Reports) and SSAS (Tabular/Multidimensional) into modern Semantic Models.
Report Optimization: Expertise in DirectQuery Composite models and Aggregations for high-volume datasets.
2. Modern Data Stack & Cloud (The "Back-End")
Microsoft Fabric Ecosystem: Hands-on experience with OneLake Direct Lake connectivity and Data Engineering workloads.
ETL/ELT Orchestration: Building robust pipelines using Azure Data Factory (ADF) and Azure Databricks.
Data Architecture: Solid understanding of querying and transforming complex datasets during the migration lifecycle.
3. Engineering Rigor (The "Foundation")
DevOps/ALM: Setting up CI/CD deployment pipelines for Power BI and Fabric artifacts.
Governance & Security: Implementing Row-Level Security (RLS) data lineage and ensuring data governance standards are met.
Large-Scale Exports: Solving the specific challenge of exporting large datasets efficiently from BI tools.
Principal Power BI Developer1. Data Visualization & Migration (The "Front-End")Expert Power BI: Advanced DAX Power Query and Performance Tuning.Legacy Modernization: Converting SSRS (Paginated Reports) and SSAS (Tabular/Multidimensional) into modern Semantic Models.Report Optimization: Expertise in ...
Principal Power BI Developer
1. Data Visualization & Migration (The "Front-End")
Expert Power BI: Advanced DAX Power Query and Performance Tuning.
Legacy Modernization: Converting SSRS (Paginated Reports) and SSAS (Tabular/Multidimensional) into modern Semantic Models.
Report Optimization: Expertise in DirectQuery Composite models and Aggregations for high-volume datasets.
2. Modern Data Stack & Cloud (The "Back-End")
Microsoft Fabric Ecosystem: Hands-on experience with OneLake Direct Lake connectivity and Data Engineering workloads.
ETL/ELT Orchestration: Building robust pipelines using Azure Data Factory (ADF) and Azure Databricks.
Data Architecture: Solid understanding of querying and transforming complex datasets during the migration lifecycle.
3. Engineering Rigor (The "Foundation")
DevOps/ALM: Setting up CI/CD deployment pipelines for Power BI and Fabric artifacts.
Governance & Security: Implementing Row-Level Security (RLS) data lineage and ensuring data governance standards are met.
Large-Scale Exports: Solving the specific challenge of exporting large datasets efficiently from BI tools.
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