Daipayan Banerjee

I’m a Data Engineer with 4+ years of experience across Pharmaceutical, Banking, AdTech, and Digital domains. I focus on building scalable data pipelines and enabling reliable analytics through SQL-based modeling, automation, and performance tuning.

In my current role at DefineRight [Fresenius Kabi], I improved reporting and analytics efficiency by 20% by designing and maintaining Power BI dashboards powered by SQL-based data models. I also optimized Databricks pipelines using SQL and PySpark, reducing recurring operational effort by 12–15 hours per month while improving data reliability and performance.

I’ve led end-to-end requirement gathering and collaborated with stakeholders to translate business needs into scalable analytics solutions using Power BI, Snowflake, Spark, and Databricks. Previously, as a Data Analyst at ACCEL Digital [Uber], I automated audience targeting via Python and improved query refresh reliability by 40%, while building SQL-driven reporting and data sharing pipelines for external partners.