Systems
Distributed Systems
Scalable, event-driven platforms built for enterprise data processing, enterprise compliance, and operational resilience.
Enterprise Data Platform
A unified data platform serving batch and streaming pipelines across the enterprise. Designed as the single source of truth for enterprise reporting and analytics.
Capabilities
- Unified batch and streaming data ingestion
- Cross-system join execution in minutes
- Pipeline observability reducing detection time by 70%
- Authoritative data layer for enterprise reporting
Technologies
AzureKafkaSparkDatabricksSQL Server
Distributed Processing Engine
A horizontally scalable computation engine for high-volume financial calculations with fault tolerance and cross-region active-active deployment.
Capabilities
- Linear horizontal scalability across nodes
- Graceful node failure recovery without data loss
- 5x throughput improvement through parallelization
- Cross-region active-active deployment
Technologies
.NETAzureRedisService Bus
Event Driven Architecture
An event-driven foundation connecting platform services through asynchronous messaging, enabling loose coupling and independent evolution.
Capabilities
- Event sourcing for audit and compliance
- CQRS pattern for read/write separation
- Eventual consistency model for distributed state
- Schema registry for contract evolution
Technologies
Event HubsKafka.NETAzure Functions