Low-latency Market-Data Pipeline
Reduced median processing latency by ~70% through a streaming pipeline, batching, and backpressure-aware consumers.
Tech: Kafka, Redis, Prometheus/Grafana
Nicholas Limarsha
Software Engineer
Software Engineer
Passionate about building robust, scalable systems with a focus on security, performance, and reliability.
Experiences
- •Developed and maintained mission-critical applications with high-availability requirements
- •Worked with buy-side clients on OMS/EMS integrations, trade reconciliation, market-data normalization, and position keeping
- •Delivered reconciliation automation that cut manual exceptions by ~80% in production environments
- •Implemented robust security measures including data masking for PII and secure authentication systems
- •Strong experience with enterprise databases and distributed systems
- •Proven track record of coordinating with stakeholders and following strict change management processes
- •Built complex systems requiring real-time processing and multi-factor authentication
Tech Stacks
Core Technologies
Java, Python, TypeScript, React, Spring Boot, REST APIs
Enterprise Systems
Oracle DB, MS SQL Server, Jenkins, WebLogic, JBoss, Windows Server, RHEL
Cloud & Security
OpenShift, Azure, JWT Authentication, SSL/TLS, Data Encryption
Developer
I enjoy creating things that live on the internet and exploring new technologies. I focus on pragmatic, well-tested solutions that balance developer velocity with maintainability and operational resilience.
Languages
- •Java, Python, JavaScript, TypeScript
- •HTML, CSS, SQL, Shell Script
Dev Tools
- •VS Code, IntelliJ IDEA
- •GitHub, GitLab
- •Terminal
Frameworks
Spring Boot, React, Next.js, Node.js, Express.js, TensorFlow, PyTorch
Domain & Impact
- •Experience with buy-side systems: OMS/EMS integrations, trade reconciliation, market-data pipelines, and position keeping
- •Delivered low-latency data processing and integrations that reduced operational overhead and manual reconciliation steps
- •Emphasis on secure engineering: data masking, encryption, RBAC, and audit logging for regulated environments
- •Outcomes: latency improvements, lower exception rates, and clearer operational observability
Case Studies
Summaries of real problems I solved for buy-side and enterprise clients
Automated Trade Reconciliation
Implemented deterministic matching rules and automated workflows that cut manual exceptions by ~85%.
Tech: Python ETL, PostgreSQL, Message Queue
Portfolio Risk Exposure Engine
Converted slow batch reports into near-real-time views, enabling intraday decisions and reproducible audit trails.
Tech: Event-driven updates, containerized workers
My Personal Projects
Here are a few past projects I've worked on
