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Ashish Sanu

@ashishsanu

Backend engineer at Morgan Stanley who modernized financial data pipelines to process 700GB+ daily streams and cut processing time by over 50%.

India

Message

At Morgan Stanley, I transformed a legacy single-node time-series database into a distributed Apache Spark architecture handling 700GB+ of daily multi-region data streams. This removed a 2TB hardware memory limit and accelerated processing by over 50% per stream.

I’ve also developed financial data services and resilient microservices, and designed asynchronous trade tracking with restart recovery to prevent data loss. Earlier, I built Wissen’s Interview Ninja Tool and developed interface modules for Morgan Stanley Wealth Management’s retirement portfolio planning system.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer 2

Current

Morgan Stanley

Apr 2024 - Present (2 years 6 months)

Transformed a single-node legacy time-series database into a distributed Apache Spark architecture handling 700GB+ daily multi-region data streams, removing hardware memory limits and accelerating processing by over 50% per stream. Architected a client-agnostic financial data service with Hazelcast distributed caching and asynchronous Kafka audit tracking.

Apache Spark Kafka Hazelcast Distributed Systems Microservices Java Spring Boot Observability Distributed Tracing Encryption

Software Engineer 1

Morgan Stanley

Apr 2021 - Apr 2024 (3 years)

Designed Eod-Syncer, an asynchronous trade-tracking service ensuring complete trade execution across Kafka streams with restart recovery and zero data loss. Led zero-downtime migration of legacy trade feeds to real-time pipelines and scaled reporting infrastructure for Prime Brokerage and Multi-Asset Accounting domains.

Kafka Java Microservices Distributed Systems Data Migration Reconciliations Reporting SLA Management

Trainee Software Developer

Wissen Technologies

Aug 2020 - Apr 2021 (8 months)

Built Wissen's Interview Ninja Tool, an enterprise candidate evaluation tool using Java, Spring JPA, REST, Node.js, and Angular. Developed full-stack user interface modules for Morgan Stanley Wealth Management retirement portfolio planning system.

Java Spring Data JPA REST NodeJS Angular Fullstack Development