Martin Legge

Martin Legge

Power BI Developer

Princeton, Texas, United States.


I am a versatile professional with extensive expertise in Power BI development, data visualization, ETL (Extract, Transform, Load), and data warehousing. My experience encompasses various industries, such as Retail, Mortgage, and Healthcare.

Throughout my career, I have successfully developed and deployed business intelligence reports using Power BI and SSRS (SQL Server Reporting Services). Additionally, I have designed and implemented efficient ETL processes using SSIS (SQL Server Integration Services) to load data into both SQL Server and MySQL data warehouses.

One of my key strengths lies in my passion for data visualization. I am dedicated to leveraging advanced visualization tools to empower end-users in efficiently interpreting and consuming data. By providing meaningful insights derived from past trends, I enable stakeholders to make informed business decisions with confidence.

In summary, my skill set combines technical proficiency in Power BI, SSRS, SSIS, and data warehousing with a deep understanding of diverse industries. I strive to deliver impactful solutions that unlock the true potential of data and drive organizational growth.

Hours Available / Wk - 40 hrs

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Employment History 

  • Power BI Developer

    Colaberry Inc
    January 2018 - Present

    • Extract data from different sources like SQL server database, CSV, Excel, transform and clean the data in power query and load it to Power BI Desktop
    • Create dashboards, charts, graphs, tabular and matrix reports based on customers’ requirements using Power BI and SSRS.
    • Generate drill down and drill up reports.
    • Create KPIs using complex DAX functions and publishing reports in Power BI service.
    • Implement row-level security to restrict data access.
    • Use agile methodology while working on complex projects and breaking them into sprints.
    • Working with Star schema and snowflake schema in data warehousing.
    • Use T-SQL to develop stored procedures, tables, user-defined functions, joins to optimize data loading into Power BI.