How Angel One Built Post-Trade Reporting Platform on AWS

This article details how Angel One, India's leading retail broker, modernized its post-trade reporting platform on AWS to meet SEBI regulatory requirements for client-level collateral segregation.

• Migrated from fragile MSSQL stored procedures to cloud-native serverless architecture
• Processes 30 million records daily, reducing end-to-end time from 4 hours to 30 minutes
• Achieved 100% first-run success rate and zero exchange rejection rates
• AWS Glue handles data transformation with 20 G.2X workers (160 vCPUs)
• AWS Step Functions provides workflow orchestration and visual monitoring
• Amazon S3 stores tens of terabytes with date-based partitioning for performance
• Amazon Athena enables ad-hoc SQL queries on data lake
• Amazon CloudWatch provides comprehensive monitoring and compliance logging
• AWS Lambda manages event-driven processing and workflow transitions
• Eliminated manual weekend interventions and troubleshooting sessions
• Platform now supports additional use cases: exposure analytics, reconciliations, transparency

Angel One successfully transformed legacy financial infrastructure into a scalable, auditable, compliant platform using AWS serverless services, demonstrating how cloud-native architecture can modernize critical financial systems.