Manoj implemented Apache Spark in retail operations, enhancing decision-making capabilities with faster and more accurate insights.

He optimized the performance of Databricks clusters for a financial services company, achieving a 30% cost reduction without compromising on processing speed.

Manoj designed a scalable data pipeline using AWS S3, Glue, and Redshift that significantly reduced data processing time for a retail client by 40%.