Summary
Ajul Raj is a Data Engineer II with nine years of experience building scalable data platforms for finance, marketing, and customer analytics across Azure and cloud-native environments. He has a track record of delivering high-impact solutions—most notably a Transfer Pricing & Royalties simulation that realized over $20M in tax efficiency—and automating end-to-end reporting using Databricks, Azure Data Factory, PySpark, SQL, and Power BI. At Publicis Sapient he streamlined CDP deployments on Azure and GCP, integrated GA4/Adobe/Salesforce sources, and eliminated manual work by fully automating CX dashboards for competitor NPS insight. Now contributing to Amazon Ads Finance, he blends hands-on ETL and modeling with an educator’s bent: creator of Spark Playground, an interactive PySpark learning platform. Based in Bengaluru, he pairs pragmatic engineering with a curious, cross-domain toolkit that thrives on turning complex data problems into production-ready pipelines.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Information Technology, Bachelor of Technology, Information Technology at Delhi Technological University (Formerly DCE)