Amarnath Mysoore

Results-driven Data Engineer with 6 years of experience in data engineering, analytics, business intelligence, and data warehousing, primarily in the technology sector. Proven expertise in Azure Databricks, SQL Server, Microsoft Fabric, ETL processes, and advanced data modeling. Skilled in designing and optimizing scalable data solutions, including Semantic models and Synapse servers, to enhance analytics and operational efficiency. Strong collaborator with a track record of leading cross-functional teams to deliver accurate and consistent data solutions. Adept at applying data warehousing best practices and staying updated with emerging technologies to drive business success.

Agile Bi - MnO

Azure Data Engineer

Jan 2020 - Jun 2020

• Created stored procedures aimed at optimizing database operations,
  resulting in improved performance and efficiency in data management.
• Developed GnA's for various data sources as part of a project for Microsoft
  Sales, contributing to the overall success of the initiative.
• Engaged in cross-team collaboration to integrate various data sources,
  ensuring seamless data flow and accessibility for analytics and reporting
  purposes.
• Developed automated scripts for data extraction and transformation,
  reducing manual intervention and increasing efficiency in data processing
  workflow.
• Worked on Databricks notebooks for migrating data and optimizing the
  extraction process from various sources.

Agile BI - Polaris

Azure Data Engineer

Jan 2021 - Jul 2024

• Developed and optimized Tabular cubes and Synapse servers, enhancing the organization's data analysis capabilities and improving overall data management processes.
• Designed and implemented Synapse views and tables, ensuring efficient data storage and retrieval practices were established to support business intelligence initiatives.
• Collaborated with business analysts to gather requirements and translate them into technical specifications for data solutions, ensuring alignment with business objectives and user needs.
• Conducted performance tuning of existing data models, leading to an improvement in query response times, thereby enhancing user experience and satisfaction.
• Worked on Databricks pipeline to migrate the data from various sources.

Agile BI - DMI

Azure Data Engineer

Aug 2024 - Feb 2025

• Implemented Agile methodologies to streamline the BI development process, achieving a significant reduction of 30% in project delivery time and enhancing team collaboration.
• Led a cross-functional team to deliver the Agile BI-DMI project, resulting in 15% improved data accuracy and user satisfaction.
• Facilitated training sessions for team members on Agile methodologies and best practices in data engineering, fostering a culture of continuous improvement and collaboration.
• Successfully collaborated with stakeholders to prioritize project requirements, leading to a 20% increase in user satisfaction and enhanced system usability.

Agile Bi Revenue

Azure Data Engineer

Mar 2025 - Jun 2025

• Designed and implemented a Microsoft Fabric Lakehouse architecture to enable centralized analytics across structured and semi-structured data sources.
• Built Data Pipelines within Microsoft Fabric to ingest and process data from diverse sources into OneLake for unified storage.
• Developed curated Fact and Dimension tables using Microsoft Fabric Notebooks, applying Star Schema principles for efficient reporting.
• Stored curated tables in the Fabric Warehouse to support high-performance reporting and downstream analytics.
• Built Semantic Models in Microsoft Fabric to define data relationships, hierarchies, and business logic, enabling advanced data analysis.
• Created dynamic Power BI reports and dashboards connected to Microsoft Fabric Lakehouse and Semantic Models for real-time insights and self-service analytics.