Chris Klaczynski

Marketing Data Analyst, Databricks

Chris Klaczynski manages data for Databricks’ marketing team, and has done so since 2019. He is currently focused on using Databricks to implement predictive analytics across marketing. Prior to Databricks, he worked as a Business Intelligence Engineer with Amazon Alexa, focused on customer behavior and insights.

Past sessions

Join this session to hear how Databricks is leveraging automated data pipelines and the lakehouse architecture to drive data insights across marketing. By using Fivetran to pull data from a number of marketing data sources such as Salesforce and Marketo, and ingesting it into the Delta Lake, Databricks’ marketing team greatly simplifies the data engineering process. This allows the team to focus on developing ML models for predictive insights that improve conversion and marketing ROI. The results are easily rendered on Tableau dashboards to empower analysts and other cross-functional teams. 


Session attendees  will learn how to:

  • Transform disparate structured and unstructured data into dependable marketing insights from the Databricks Lakehouse Platform using Delta Lake
  • Leverage a unified platform for data engineering, data science and analytics for higher-value (and more fulfilling) work by pivoting to automated data pipelines
  • Empower your team to access the data they need for analysis - regardless of coding abilities
In this session watch:
Chris Klaczynski, Marketing Data Analyst, Databricks
Myles McDonald, Technology Alliances Manager, Fivetran