Subhankar Majumdar
MTS at Salesforce | Gold Medalist - NIT Agartala | Java, Spring Boot, Spark, PostgreSQL, Backend, Distributed Systems, Scalable AI/Data Pipelines
- Role
- Member of Technical Staff (Sde-2) at Salesforce
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Subhankar Majumdar
Backend & Distributed Systems Engineer specializing in large-scale data infrastructure and activation platforms at Salesforce Data Cloud.I design and build scalable, multi-tenant distributed systems that power enterprise data activation and AI-driven engagement workflows. My work focuses on high-volume data processing, reliability engineering, and performance optimization across batch and near real-time pipelines.At Salesforce, I contribute to the Activation platform, building data workflows that process millions of records per run across cloud destinations. I work extensively with Java, Spring Boot, Apache Spark, and PostgreSQL, solving challenges in distributed processing, fault tolerance, and system scalability.Previously at InfoEdge, I built backend and data systems using Java, Kafka, and SparkSQL, optimizing latency and scalability across high-traffic consumer platforms.I’m passionate about system design, distributed systems, and data platforms, and I’m interested in backend and infrastructure roles where I can solve complex problems at scale.
Experience
Member of Technical Staff (Sde-2)
Dec 2023 — Present · Bengaluru, IN
Built Activate on Engagement, enabling enterprise tenants to trigger activations using Engagement DMOs, implementing scalable backend workflows in Java, Spring Boot, Apache Spark, and PostgreSQL that support AI-driven engagement and personalization use cases.• Designed and implemented incremental refresh pipelines for updates and deletes, processing tens of millions of records using distributed Spark jobs, ensuring data freshness and correctness for downstream analytics and intelligence systems.• Improved end-to-end reliability of GCS, SFTP, and Azure-based activations from 99.8% to 99.9% by hardening distributed execution paths, retries, idempotency, and failure recovery.• Contributed to large-scale, multi-tenant activation pipelines operating across hundreds of tenants, focusing on scalability, fault tolerance, and performance, forming the data backbone for AI-powered decisioning and insights within Salesforce Data Cloud.
Education
Kendriya Vidyalaya
Class 12, Science
2016 — 2018
Holy Cross Convent High School - India
Matriculation
2009 — 2016
National Institute of Technology Agartala
Bachelor of Technology - BTech, Electronics and Communications Engineering
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