Continuous Education
Sustained Mastery &
Technical Growth
A chronological record of specialized workshops, advanced technical training, and professional development courses completed to maintain an edge in the evolving enterprise data landscape.
303
Modules Completed
14
Courses Completed
155+h
Training Watched
Commitment to Perpetual Learning
In the enterprise BI and data architecture space, technical debt is often the result of stagnant expertise. My philosophy of "Continuous Training" is a proactive defense against that stagnation. By consistently investing time in deep-dive workshops—from advanced DAX optimization to modern Lakehouse architecture—I ensure that the solutions I architect for my clients are built on the most current, performant, and governed standards available. This page serves as a transparent log of that commitment to technical excellence and professional rigor.
Completed Workshops & Courses

Building Data Lakes and Lakehouses with Microsoft Fabric
Microsoft / Coursera • May 2026
This course focuses on the practical implementation of a Lakehouse architecture using Microsoft Fabric. You will design and build a Lakehouse with Delta tables, implement medallion architecture patterns (Bronze, Silver, Gold), develop data ingestion strategies, and manage security controls.

Modern Data Architecture Fundamentals with Microsoft Fabric
Microsoft / Coursera • May 2026
This course introduces core concepts of modern data architecture, exploring the evolution from traditional warehouses to cloud-native lakehouses using Microsoft Fabric and OneLake.

Microsoft Fabric: Implement and Manage Analytics Solutions
Coursera / Whizlabs • April 2026
Mastering end-to-end analytics design, implementation, and management using Microsoft Fabric. Covers CI/CD, workspace administration, and data pipeline orchestration.

Fabric Analyst In A Day
Microsoft / Pragmatic Works • April 2026
Comprehensive training on end-to-end analytics with Microsoft Fabric, covering Lakehouse architecture, Data Factory, and real-time analytics.

Power BI Meets Fabric
Pragmatic Works • April 2026
Specialized course on integrating Power BI reports and semantic models with the Microsoft Fabric ecosystem for unified enterprise analytics.

App In A Day (Power Apps & Dataverse)
Microsoft / Pragmatic Works • July 2025
Intensive hands-on workshop focused on building custom business applications using Power Apps, automating processes with Power Automate, and managing data in Dataverse.

Python for Data Analysis & Visualization
Udemy • October 2023
Python for Data Analysis & Visualization (Udemy) provides hands-on training in Python-based data analytics, covering foundational programming, data manipulation with NumPy and Pandas, exploratory data analysis, and data visualization using libraries such as Matplotlib and Seaborn—enabling learners to clean, analyze, and visualize real-world datasets for actionable insights.

Introduction to SSRS
Pragmatic Works • September 2023
Classic SQL Server Reporting Services training for enterprise on-premises reporting and server management.

Introduction to Paginated Reports
Pragmatic Works • July 2023
Technical training on building pixel-perfect, printer-friendly reports using Power BI Report Builder.

Power BI Security
Pragmatic Works • April 2023
Deep dive into RLS, OLS, workspace governance, and enterprise-grade security protocols for Power BI deployments.

Power BI Dataflows
Pragmatic Works • April 2023
Mastering self-service data prep with Dataflows to create reusable ETL components across multiple Power BI reports.

Introduction to DAX
Pragmatic Works • April 2023
Foundational training in Data Analysis Expressions (DAX) for building calculated columns, measures, and complex business logic.

Introduction to Power BI
Pragmatic Works • April 2023
A comprehensive deep dive into the Power BI ecosystem, covering data acquisition, transformation with Power Query, and advanced visualization techniques.

CompTIA Data+ (DA0-001)
Udemy • March 2023
Hands-on training aligned with CompTIA Data+ domains, covering Data Concepts & Environments, Data Mining, Data Analysis, Data Visualization, and Data Governance, Quality & Controls, with practical application in data processing, analysis, and reporting.
