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Koustav Bhatt

@koustavbhatt

Software engineer at Andor tech - Target Corporation India Pvt. Ltd. who optimized Kafka pipelines, cutting processing latency by 15 minutes.

India

Message

At Andor tech - Target Corporation India Pvt. Ltd., I built an audit trail for Circle Card and optimized Kafka-based ETL, CDC, consumer processing, and reconciliation pipelines. My pipeline improvements reduced end-to-end processing latency by 15 minutes.

At Tata Digital Pvt. Ltd., I developed Spring Boot microservices for Tata Neu’s Native Commerce platform and a Redis-backed cache over Freshdesk APIs that reduced external calls by approximately 15%. At Morgan Stanley Capital International, I worked on ETL pipelines and pricing instruments for BarraOne portfolio analytics.

Experience

Work history, roles, and key accomplishments

Software Engineer 3

Andor Tech - Target Corporation India Pvt. Ltd.

Jan 2026 - Aug 2026 (7 months)

Built an end-to-end audit trail for Circle Card to track consumer account changes, ensuring traceability and data consistency. Optimized Kafka-based ETL and CDC pipelines for encrypted files averaging 150+ GB, reducing processing latency by 15 minutes.

Java Spring Boot Kafka GraphQL ETL CDC REST APIs Microservices PostgreSQL Redis Docker Kubernetes AWS Azure GitLab CI CD Python LLM RAG Vector Databases

Software Engineer

Morgan Stanley Capital International

Jan 2024 - Sep 2024 (8 months)

Engineered multithreaded ETL pipelines and return-calculation engines for BarraOne, supporting portfolio analytics across global multi-asset investments. Designed and implemented FX Futures, FX Futures Options, and FX Options pricing instruments.

Java ETL Multithreading Financial Analytics Derivatives Pricing Concurrency Backend Design

Software Engineer

Tata Digital Pvt. Ltd.

Jul 2020 - Nov 2023 (3 years 4 months)

Architected and developed scalable Spring Boot microservices for Tata Neu's Native Commerce platform, building reusable backend services through an event-driven architecture. Designed a Redis-backed caching layer over Freshdesk APIs, reducing external API calls by approximately 15%.