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FNU Shiv Shankar Kumar

Speaker

FNU Shiv Shankar Kumar

3

talks

Technology Lead Infosys

Shiv Shankar Kumar is a data engineer with over seven years of experience designing and delivering end-to-end data solutions. His expertise spans Microsoft Fabric, OneLake, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, ADLS, Microsoft Purview, SQL, MSBI, PySpark, and T-SQL scripting, with a track record in static and real-time Power BI reporting, SSIS-to-Azure Data Factory migrations, and Lakehouse architectures in Azure Databricks. He has led live demos at major industry events such as Microsoft Build, Databricks Conference, Microsoft Inspire, and Microsoft Ignite, including a Microsoft Fabric with Azure Databricks lab. Kumar holds multiple certifications, including Microsoft Certified Azure Data Engineer, Fabric Analytics Engineer Associate, and Fabric Data Engineer Associate.

Bio from: Microsoft Ignite 2025

Frequent Collaborators

Isaac Gritz Databricks 3 Jason Pereira Microsoft Corporation 3 Ranavikrant Chouhan Microsoft 3 Sanjay Soni Microsoft 3 Saurabh Shukla Databricks 3

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Microsoft Ignite 2025 3

Talks & appearances

3 activities · Newest first

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Azure Databricks in Action: Unified AI & Analytics Across Microsoft

2025-11-21 · Microsoft Ignite 2025
talk
with FNU Shiv Shankar Kumar (Infosys) , Jason Pereira (Microsoft Corporation) , Isaac Gritz (Databricks) , Saurabh Shukla (Databricks) , Sanjay Soni (Microsoft) , Ranavikrant Chouhan (Microsoft)
AI/ML Analytics Azure BI Cloud Computing Databricks

Join this hands-on lab to design and deploy a modern, cloud-native analytics and AI solution using Azure Databricks, Microsoft Foundry, and Microsoft Copilot Studio. Work with the Zava-Litware scenario to perform data ingestion, orchestration with Lakeflow, AI-driven insights via Genie, mirrored catalog in Microsoft Fabric, Copilot Studio low-code automation, and advanced reporting in Power BI. Build a scalable, cost-efficient solution showcasing AI-powered analytics for business transformation.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Azure Databricks in Action: Unified AI & Analytics Across Microsoft

2025-11-19 · Microsoft Ignite 2025
talk
with FNU Shiv Shankar Kumar (Infosys) , Jason Pereira (Microsoft Corporation) , Isaac Gritz (Databricks) , Saurabh Shukla (Databricks) , Sanjay Soni (Microsoft) , Ranavikrant Chouhan (Microsoft)
AI/ML Analytics Azure BI Cloud Computing Databricks

Join this hands-on lab to design and deploy a modern, cloud-native analytics and AI solution using Azure Databricks, Microsoft Foundry, and Microsoft Copilot Studio. Work with the Zava-Litware scenario to perform data ingestion, orchestration with Lakeflow, AI-driven insights via Genie, mirrored catalog in Microsoft Fabric, Copilot Studio low-code automation, and advanced reporting in Power BI. Build a scalable, cost-efficient solution showcasing AI-powered analytics for business transformation.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Azure Databricks in Action: Unified AI & Analytics Across Microsoft

2025-11-18 · Microsoft Ignite 2025
talk
with FNU Shiv Shankar Kumar (Infosys) , Jason Pereira (Microsoft Corporation) , Isaac Gritz (Databricks) , Saurabh Shukla (Databricks) , Sanjay Soni (Microsoft) , Ranavikrant Chouhan (Microsoft)
AI/ML Analytics Azure BI Cloud Computing Databricks

Join this hands-on lab to design and deploy a modern, cloud-native analytics and AI solution using Azure Databricks, Microsoft Foundry, and Microsoft Copilot Studio. Work with the Zava-Litware scenario to perform data ingestion, orchestration with Lakeflow, AI-driven insights via Genie, mirrored catalog in Microsoft Fabric, Copilot Studio low-code automation, and advanced reporting in Power BI. Build a scalable, cost-efficient solution showcasing AI-powered analytics for business transformation.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.