Adarsh Reddy Email & Phone Number

Vancouver, British Columbia, Canada

Developed and maintained SQL scripts for database indexing and query optimization, enhancing database performance and query response timesDeveloped and maintained data profiling tools, identifying data quality issues and addressing them proactively.Utilizing Power BI's AI-powered features, such as Q&A and Quick Insights, to gain automated data insights and suggestions.Set up Git work tree to manage multiple working trees in Azure projects, allowing concurrent development on different branches.Creating and managing subscriptions in Power BI and SSRS to automate report delivery to specific recipients on a schedule.

Coquitlam, British Columbia, Canada

Utilizing Power BI REST API to automate report and dataset management tasks programmatically.Skillfully integrating SSIS packages with external systems and services using APIs and web services, ensuring seamless data exchange and interoperability between diverse platforms.Enhancing report retrieval speed with efficient report caching in SSRS. By pre-rendering report snapshots and storing them in memory, users experience faster data access and reduced latency.Implementing and optimizing data lake integration with Azure DevOps, streamlining data pipeline management and automationDesigning and implementing end-to-end CI/CD pipelines in Azure DevOps to automate the entire software development and delivery process, from code changes to deployment.

Pune, Maharashtra, India

Designing and creating database schemas, tables, and views that align with Power BI reporting requirements.Maintaining comprehensive SSIS package documentation, including data flow diagrams, dependencies, and deployment instructions, ensuring clear understanding and seamless collaboration.Configuring and meticulously managing release orchestration and coordination in Azure DevOps to ensure smooth and efficient release deployments.Implementing and overseeing machine learning model training and deployment in Azure Databricks, harnessing AI capabilities.Customizing and maintaining data lake integration with ETL and data integration tools, ensuring seamless data flow and transformation across Azure Data Lake