Mohammed Abdul Raheem

I’m a Senior Analyst and Data Engineer with 4+ years of experience specializing in scalable ETL and cloud data warehousing on AWS. I focus on building reliable pipelines, tuning performance, and enabling analytics through clean data models and clear documentation.

At Accenture, I collaborated with business analysts to design and deliver high-volume ETL on Amazon EMR that met critical client requirements. I developed and maintained services on AWS Redshift and Glue, improving accessibility and accelerating downstream usage by 30%.

I leverage PySpark to streamline pipelines, improving integration and processing efficiency by 20%, and I lead workflow orchestration with Apache Airflow and Amazon EventBridge to ensure reliable scheduling and monitoring. I also performed platform tuning across Glue, Redshift, and EMR, reducing incident frequency by 40%.

Previously at Tata Consultancy Services, I partnered with stakeholders to translate needs into technical specifications, reducing rework by 30%. I designed scalable ETL using AWS Glue and Lambda to move S3 datasets into Amazon Redshift, optimized Spark-based ETL to cut batch processing time by 35% (delivering results 2x faster) and reduced compute costs by 10%, while establishing CI/CD checks and data quality tests to reduce production defects by 60%.