Arjun Balakumar

Aws Data Engineer @Tech Mahindra

Toronto, ON, CA

Architected scalable AWS-based data platforms using S3, Glue, and Lambda to streamline data ingestion, transformation, and storage while improving end-to-end processing efficiency for analytics and business reporting workloads• Managed full lifecycle ETL pipelines by collecting, transforming, and organizing raw datasets into optimized structures, ensuring consistency, reliability, and availability for analytical teams across multiple business domains• Designed real-time streaming frameworks with AWS Kinesis to process high-volume event data, reducing latency, improving data freshness, and enabling faster decision-making through near-instant data availability• Collaborated closely with data scientists and analysts to integrate curated datasets into advanced machine learning workflows, supporting accurate model training, performance improvement, and production deployment• Deployed serverless solutions using AWS Lambda and Step Functions to automate recurring data processing tasks, reducing manual intervention, enhancing scalability, and lowering operational overhead in dynamic workloads• Enhanced dimensional and analytical data models on Redshift to improve query speed, optimize storage usage, and support complex reporting needs, resulting in measurable performance gains for business intelligence teams• Monitored pipeline operations using CloudWatch logs, metrics, and alerts to quickly identify issues, troubleshoot failures, and maintain high pipeline reliability, ensuring continuous delivery of quality data to stakeholders