Senior Business Intelligence Engineer Resume

OBJECTIVE

TECHNICAL SKILLS

PROFESSIONAL EXPERIENCE

Confidential

Senior Business Intelligence Engineer

Responsibilities:

I responded to requests in Azure DevOps regarding optimizations and fixes that needed to be implemented as requested by higher ups.
I made numerous Powerapps connected to databases hosted on Azure SQL to take user input data and update it in real - time.
This data was then used in numerous Microsoft Power BI reports.
I designed 200+ custom tooltips and hyperlinks through bookmarks and page navigations to connect 100+ pages and views containing filter panes in Power BI reports effectively, turning them into interactive apps.
I scheduled automated incremental refreshes to ensure that the data was being refreshed at 42% of the initial bandwidth while achieving the same result.

Confidential

Senior Data Analyst

Responsibilities:

I built 20+ Microsoft Power BI dashboards from scratch for a wide variety of clients such as Peloton and various healthcare companies.
I increased the performance of the pre-existing Microsoft Power BI reports displaying important KPIs such as reliability, churn, and attrition rates by 37% via more efficient DAX expressions and measures.
I connected a PowerApp to the appropriate SQL Server connector to ensure that the data input by the user was immediately being sent to the database in real time.

Confidential

Senior Microsoft Power BI Developer

Responsibilities:

I directly faced clients on the Cloud Economics project, delved deeper into their criteria to understand their business requirements as they didn't always understand the easiest way to achieve their business goals themselves, and produced Microsoft Power BI dashboards and reports that met the business criteria.
This involved a wide variety of modifications such as custom tooltips, bookmarks for filter panes, and other user-friendly features.Before making these dashboards, I often had to filter the data using ETL tools such as ADF and SSIS.Over the course of my time here, I had built over 100 pipelines and written DAX expressions of up to 150 lines.
I helped migrate from SSAS to Azure Synapse as well as from SQL Server to Azure SQL.
I cut down on the space many reports took up by reducing the number of pages they took up by up to 100 utilizing bookmarks, Power Query, and nested calculate statements to optimize the DAX query parsing appropriately.