Speaker

Pradeep Anandapu

Activities

2

talks

Sr. Staff Solutions Architect Databricks

Pradeep is a partner solutions architect at Databricks, where he works on the Corp Dev & Product Partnerships team. He helps build and evangelize technology partner integrations on the Databricks Data Intelligence Platform. With a dense experience in the data and analytics field, he continues to be a data and AI nerd. When he is not working with data and partners, he enjoys traveling and spending time with his family and friends.

Bio from: dbt Coalesce 2022

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Data + AI Summit 2025 1 dbt Coalesce 2022 1

Talks & appearances

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Hands-on-Learning: Accelerating the Analytics Journey: Leveraging Fivetran, dbt Cloud, and Sigma on Databricks | Sponsored Session

2025-06-11 · Data + AI Summit 2025

talk

with Nina Anderson (dbt Labs) , Mitch Ertle (Sigma) , David Hrncir (Fivetran) , Pradeep Anandapu (Databricks)

Analytics Cloud Computing Data Analytics Databricks dbt Fivetran

This hands-on lab guides participants through the complete customer data analytics journey on Databricks, leveraging leading partner solutions - Fivetran, dbt Cloud, and Sigma. Attendees will learn how to:- Seamlessly connect to Fivetran, dbt Cloud, and Sigma using Databricks Partner Connect- Ingest data using Fivetran, transform and model data with dbt Cloud, and create interactive dashboards in Sigma, all on top of the Databricks Data Intelligence Platform- Empower teams to make faster, data-driven decisions by streamlining the entire analytics workflow using an integrated, scalable, and user-friendly platform

Introducing dbt with Databricks

2022-10-25 · dbt Coalesce 2022 Watch

video

with Roberto Salcido (Databricks) , Prasad Kona (Databricks) , Pradeep Anandapu (Databricks)

Analytics Data Lake Data Lakehouse Databricks dbt Modern Data Stack

In this live, instructor-led hands-on lab, you’ll learn how to build a modern data stack with Databricks and dbt, using dbt to manage data transformations in Databricks and perform exploratory data analysis on the clean data sets using Databricks SQL. Based on the lakehouse architecture and built on an open data lake, data analysts, analytics engineers, and data scientists can use dbt and Databricks to work with the freshest and most complete data, and quickly derive new insights for accurate decision-making.

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