Harish Kumar Shankaregowda
- Role
- Sr Data Engineer Bi and Data Specialist in Big Data Environments at Microsoft at Mindtree
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Harish Kumar Shankaregowda
With over 18 plus years of experience in the Information Technology industry…
Experience
Sr Data Engineer Bi and Data Specialist in Big Data Environments at Microsoft
Aug 2019 — Present
Implemented ETL/ELT solutions using different technologies like SQL Server Integration Services, SCOPE Script, U-SQL, Azure Data factory to ingest data to Big Data technologies like COSMOS, Azure Data Lake Store (ADLS), Azure Data Lake Analytics (ADLA), Azure Blob Storage and Azure Datawarehouse. • Translated business requirements into technical solution concepts, designs and provide technical governance and guidance throughout the complete solution delivery lifecycle. • Interacted with business team to understand the reporting requirements, implemented data ingestion from various sources to SQL server, wrote calculated columns in power Bi desktop to show good data analysis techniques. • Coordinate with partner teams for cosmos script analysis and onboarding metrics to Power BI Dashboards • Designing and Development of Azure Data Factory Pipelines to extract the data from relational sources such as SQL server and non-relational sources like Flat files. • Designed and developed Power BI Dashboards deploying the reports to Power BI/SharePoint. • Responsible for creating and changing the visualizations in Power BI reports and Dashboards on client requests. • Expertise in creation of CI/CD pipelines using Azure DevOps and implemented Azure DevOps CI/CD release pipelines for automating ADF/SQL code deployments • Experience with Azure Cloud Services (PaaS & IaaS), Azure Virtual Machines Azure Storage, SQL, Azure, Azure Active Directory, application insights, and logic apps • Designed and developed Azure Data Factory Pipelines to extract the data from cosmos bigdata environment and load to ADLS and Azure SQL databases.
Skills
- Microsoft Excel
- Microsoft Office
- Customer Service
- Management
- Leadership
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