Mahathi Vucha

About Mahathi Vucha

Experienced Data Engineer specializing in designing, developing, and optimizing ETL pipelines and cloud-based data architectures. Skilled in Azure Data Factory (ADF), Azure Synapse, Databricks, and Kusto for large-scale data processing and orchestration. Passionate about building high-performance data solutions that handle large datasets efficiently. Proficient in integrating both structured and unstructured data from various sources, ensuring seamless data ingestion, transformation, and storage. Expertise in cloud platforms like Azure and AWS, and experienced with data lake and lakehouse architectures to support modern data engineering solutions. Some tools of the trade: • ETL: Azure Data Factory (ADF), Lake flow Connect, DLT • Cloud Platforms: Azure, AWS • Data Warehousing: Azure Synapse, Kusto • Scripting: Python, SQL, PL/SQL, KQL • BI Tools: Power BI, Tableau, Qlik Committed to building scalable data pipelines and empowering data-driven decision-making through efficient, high-performance solutions.

Experience

1. Sr Business Intelligence Engineer

   Microsoft

   Jul 2023 — Present · Bellevue, WA, US

   Utilized Azure Data Lake Storage to store and process vast amounts of structured and unstructured data using Kusto Query Language. • Developed interactive Power BI dashboards with Direct Lake mode, sourcing data directly from Microsoft Fabric Lakehouse. • Designed semantic models and used Dataflows Gen2 to streamline data prep and reuse across Fabric workspaces. • Developed extremely complex Power BI dashboards using field parameters, Q&A and other newer features.

Education

• City University of Seattle

  Master of Science - MS, Computer Science

• Jawaharlal Nehru Technological University, Kakinada

  Bachelor of Engineering - BE, Information Technology

  2009 — 2013