Work Experience

Data Analytics Engineer Jan 2022 – Present

@ Microsoft

  • Designing and developing core business metrics, automated dashboards, and data visualizations to drive strategic insights.
  • Building experiments, algorithms, and models to derive actionable business recommendations.
  • Applying automated machine learning techniques and presenting findings via interactive visualizations and presentations.
  • Collaborating with stakeholders to standardize metrics and foster data-driven decisions.
  • Providing data support, training, and ad-hoc analyses across teams.

Power BI Customer Engineer (Data & AI) Apr 2020 – Jan 2022

@ Microsoft

  • Accelerated cloud adoption and data-driven decision-making with Power BI and Azure analytics.
  • Advocated for Managed IP and Proactive Services to optimize customer support agreements.
  • Diagnosed and resolved Performance issues including data modeling and DAX optimization.
  • Advised on data governance, scalability, security, and compliance best practices.
  • Mapped customer needs to Synapse, Fabric, and cloud-based analytics solutions.

Technical Support Engineer Feb 2017 – Apr 2020

@ Microsoft

  • Provided advisory and reactive support for Power BI Desktop, Service, Mobile, Premium, Embedded, and Gateway.
  • Resolved escalated cases through advanced troubleshooting and collaboration.
  • Mentored new hires and designed targeted training to address skill gaps.
  • Diagnosed product bugs via log analysis and coordinated fixes with engineering.
  • Troubleshot connectors across SQL, SharePoint, SAP, Google Analytics, Azure, and more.

Business Intelligence Developer Jun 2010 – Mar 2012

@ eMAG

  • Developing advanced BI applications with QlikView, Qlik Sense, and Power BI.
  • Working with Business Strategy to identify improvements and new solutions.
  • Optimizing scripts and report designs for performance and maintainability.
  • Ensuring application support and monitoring report sustainability on the server.
  • Manipulating data from MySQL, MSSQL, and platforms like Google Analytics.
  • Collaborating in JIRA/Agile environments for SCRUM-based delivery.