Streaming Data Integration for Financial Services

Real-Time Data for Financial Services

In financial services, latency is risk.

Batch-driven data architectures introduce delays between transaction events and decision-making, increasing exposure to fraud, limiting real-time risk visibility, and constraining the customer experience across payments and digital channels. LSD Open’s Streaming Data Integration (SDI) for Financial Services delivers a real-time, event-driven data platform that enables continuous data movement, processing, and decisioning across banking, payments, insurance, and fintech environments on AWS.

Built on Apache Kafka, Confluent Platform, Apache Flink, and ksqlDB, SDI enables financial institutions to process, analyse, and act on data in motion with full governance, auditability, and enterprise-grade security.

FSI Use Cases SDI is designed to support critical financial services workloads, including:

• Real-time fraud detection and prevention - Stream transaction events and apply in-flight enrichment, scoring, and anomaly detection.
• Payments processing and event-driven banking - Enable low-latency, event-driven architectures for modern payment systems and digital banking platforms.
• Risk monitoring and compliance reporting - Continuously track exposures, detect threshold breaches, and maintain audit-ready data pipelines.
• Customer 360 and personalisation - Deliver real-time customer insights across channels to support personalised financial services.
• Regulatory and audit data pipelines - Maintain immutable, traceable event streams for compliance with financial regulations.

What SDI Delivers

LSD Open’s Streaming Data Integration service provides end-to-end real-time data engineering capabilities tailored for FSI:

• Change Data Capture (CDC) from core banking systems and transactional databases
• Secure, continuous ingestion from multiple financial data sources
• Real-time stream processing using Apache Flink and ksqlDB for enrichment, aggregation, and event correlation
• Schema governance and data consistency via Confluent Schema Registry
• Delivery to AWS data platforms, including Amazon S3, Amazon Redshift, Amazon OpenSearch, and operational systems
• End-to-end observability, encryption, and access control aligned with financial security standards

Built for Compliance and Governance

SDI is designed to meet the strict requirements of financial services environments:

• End-to-end data lineage and traceability
• Schema enforcement and version control
• Secure data handling with encryption in transit and at rest
• Fine-grained access control and identity integration
• Audit-ready event streaming pipelines

Structured Delivery Model

SDI engagements follow a structured, outcome-driven delivery approach:

• Discovery
• Design
• Integration & Stream Processing
• Enablement
• Handover

Delivered using Agile methodology, LSD Open works closely with internal teams to ensure alignment, knowledge transfer, and long-term platform adoption.

AWS-Native Integration The service integrates with AWS services, including: Amazon MSK (Kafka) Amazon Kinesis AWS Glue Amazon S3 Amazon Redshift Amazon OpenSearch Amazon DynamoDB Amazon Bedrock

Enabling financial institutions to build a unified, real-time data platform for analytics, AI, and automation.