talk-data.com talk-data.com

N

Speaker

Nandini N

1

talks

Sr Backline Technical Solutions Engineer Databricks

Nandini is currently working as Backline Technical Solutions Engineer at Databricks where in she helps solve complex customer issues spanning across different Databricks components. Her areas of expertise are DBSQL and Spark SQL. Nandini has 10+ years of experience in Big Data Industry. Previously, she has worked with Cloudera, Walmart and Informatica in different roles. In her previous role, she was a Backline Engineer for Kafka in Cloudera, in Walmart she was part of the Data Lake team and in Informatica she worked on creating a streaming ingestion software. Apart from work, she likes to paint and go for nature walks with her dog. She is passionate about social causes. Previously, she also took a sabbatical to work with a NGO for a year.

Bio from: Data + AI Summit 2025

Filter by Event / Source

Talks & appearances

1 activities · Newest first

Search activities →
Why You Should Move to Lakeflow Declarative Pipelines Serverless

Lakeflow Declarative Pipelines Serverless offers a range of benefits that make it an attractive option for organizations looking to optimize their ETL (Extract, Transform, Load) processes.Key benefits of Lakeflow Declarative Pipelines Serverless: Automatic infrastructure management Unified batch and streaming Cost and performance optimization Simplified configuration Granular observability By moving to Lakeflow Declarative Pipelines Serverless, organizations can achieve faster, more reliable, and cost-effective data pipeline management, ultimately driving better business insights and outcomes.