Venkat Pusuluri

Data Engineer @KPMG

US

Project Title:Financial Data Compliance & Fraud Analytics PlatformProject Description:At KPMG, I worked on a mission-critical Financial Data Compliance & Fraud Analytics Platform designed to process high-volume financial transactions, strengthen fraud detection, and ensure strict regulatory compliance. The project focused on building a real-time data ecosystem integrating ETL/ELT pipelines, streaming frameworks, machine learning models, and compliance dashboards to support enterprise-scale risk and fraud monitoring.Key Contributions:Data Engineering:Designed and optimized ETL/ELT pipelines in Python (3.12), PySpark, and SQL to ingest and transform multi-source financial data, improving data availability and audit readiness.Real-Time Streaming & Fraud Detection:Built real-time streaming pipelines using Apache Kafka 3.x and Spark Structured Streaming, enabling low-latency fraud detection and AML/KYC surveillance.Data Lakehouse & Analytics:Architected Databricks Delta Lakehouse solutions for liquidity risk analytics, Basel compliance, and regulatory dashboards.Governance & Compliance:Implemented fine-grained data access controls using Alation and Microsoft Purview, aligning with PCI DSS 4.0, SOX, SEC Reg SCI, and OCC guidelines.Cloud & DevOps:Provisioned and optimized Azure infrastructure with Terraform and Helm, reducing cloud costs by 15% while enabling multi-region failover strategies.Collaboration:Partnered with compliance officers, auditors, and risk managersOutcome:The project delivered a regulatory-compliant, real-time fraud analytics platform that reduced fraud detection latency by 40%, improved detection accuracy by 30%, and enabled automated compliance reporting that cut reporting cycles by 50%. The solution ensured Basel SOX, and PCI DSS 4.0 alignment, reduced operational costs, and established a scalable and audit-ready financial data ecosystem for the client.