ABOUT FRANK A. BANIN
Architecting the trusted path from data to decisions
Power BI and Microsoft Fabric Architect · Author · Builder of trusted BI and AI systems
I turn modern data platforms into clear, governed analytics systems that connect engineering, semantic meaning, executive BI, and trusted agentic AI. My work combines more than 15 years of enterprise data experience with practical architecture, performance engineering, technical education, and data storytelling.
Data foundations
Distributed engineering
Semantic intelligence
Decision-ready BI
Governed agentic AI
ARCHITECTURE PATH
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ARCHITECTURE AND TECHNICAL CAPABILITIES
The technology is organized by the role it plays in the architecture—from analytical platforms and Delta-based engineering to governed semantics, deployment, diagnostics, and AI-ready consumption
01 - PLATFORM
Unified Analytics Platforms
Enterprise platforms for integrating engineering, storage, analytics, and business intelligence.
Microsoft Fabric
Databricks
Synapse Analytics
Snowflake
SQL Server
04 · PERFORMANCE
Performance and Diagnostics
Evidence-based optimization across SQL, Delta-Parquet, Direct Lake, semantic models, and DAX.
DAX Studio
Tabular Editor
SQL Tuning
XMLA Endpoints
Direct Lake diagnostics
02 · ENGINEERING
Lakehouse and Data Engineering
Reliable pipelines and analytical storage designed for scale, reuse, and downstream performance.
OneLake
Delta Lake
Spark and PySpark
Medallion Architecture
ETL and ELT
05 · DELIVERY
DevOps and Automation
Controlled delivery practices that move analytics assets safely across environments.
Git Integration
Deployment pipelines
CICD architecture
Release governance
03 · SEMANTICS
Semantic Modeling and Power BI
Governed business meaning delivered through reusable models, measures, and interactive experiences.
Power BI
Tabular Models
Star Schemas
Advanced DAX
Self-Service BI
06 · TRUSTED AI
AI-Ready Analytics
Governed analytical foundations that help assistants and agents return grounded business answers.
Co-pilot ready models
Data-agent patterns
Certified business logic
RAG
PROFESSIONAL JOURNEY
Three phases of an evolving analytics career.
Each phase builds on the one before it—from enterprise data foundations to advanced analytics and today’s unified analytics and AI-ready systems.
2017–Present
Strategic Modernization and Unified Analytics Systems
Across Broadbeach, SoftNet, Bloomberg via Insight Enterprises, MatchPoint Solutions, and other consulting engagements, Frank has led analytics modernization initiatives connecting cloud data engineering, semantic models, Power BI, and AI-ready business logic. His work spans Microsoft Fabric, Azure Synapse, Databricks, Lakehouse and Warehouse architectures, CI/CD, governed self-service BI, and executive analytics.
2015–2021
Big Data and Advanced Analytics
As Big Data, cloud computing, and data science reshaped enterprise analytics, Frank helped organizations move beyond conventional reporting into distributed processing, predictive modeling, and evidence-based decision-making. At Microsoft and Broadbeach, he designed Azure, Power BI, machine-learning, IoT, and semantic-model solutions using SQL, Python, R, and DAX.
Enterprise BI and Data Engineering Foundation
2007–2015
Across Merrill Lynch, Cover-All Technologies, and Duck Creek Technologies, Frank delivered campaign and profitability analytics, automated data-quality processes, designed insurance data warehouses and analytical frameworks, developed ETL architecture, and supported predictive-model integration. This period established the durable engineering and semantic principles that continue to underpin his work.
CREDENTIALS AND INDUSTRY CONTRIBUTIONS
Technical practice strengthened by research, writing, and education.
Professional certifications and long-form technical writing connect practical implementation with a broader point of view on how analytics systems evolve.
Professional credentials
Microsoft Certified Fabric Analytics Engineer Associate
Microsoft, 2024
Microsoft Certified Azure Data Engineer Associate
Microsoft, 2024
Generative AI for Business with Azure OpenAI
Microsoft-Great Learning, 2024
MSc Predictive Analytics
Northwestern University
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Whether you are modernizing enterprise BI, designing a Microsoft Fabric architecture, improving Power BI performance, or preparing governed data for AI, I can help turn complex requirements into a clear and reliable analytical solution.
Publications and thought leadership
DAX Reimagined
An Apress book project and embedded Fabric Power BI capstone
SQLServerCentral technical articles
Peer-reviewed writing with more than 340,000 reader views.
Technology Journey
Five analytics paradigms connected through enduring architectural principles.
Delta-Parquet Foundation for Fabric BI and AI
Storage-to-semantic performance engineering for trusted BI and AI.
Status: Ongoing