Siddharth khandelwal

Product Manager

Pune, Maharashtra, India3 yrs 10 mos experience

Highly Stable

Key Highlights

3+ years of experience in Java backend development
Pursuing Product Management Fellowship to bridge tech and product
Passionate about building impactful user-centered products

Stackforce AI infers this person is a Backend Developer transitioning into Product Management within the SaaS industry.

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Skills

Core Skills

JavaSpring Boot

Other Skills

REST APIsData ModelingAPI DevelopmentAgileCross-Functional CollaborationProduct ManagementMySQLRESTful WebServicesGitHubJenkins

About

As a Software Developer with 3+ years of experience building scalable backend systems using Java and Spring Boot, I’ve always been driven by curiosity — not just about how products are built, but why they’re built. Over time, that curiosity has evolved into a deep interest in Product Management and the intersection of technology, user needs, and business strategy. Currently, I’m pursuing the Product Management Fellowship at Product Space (Cohort 24), where I’m strengthening my understanding of product discovery, strategy, and execution. This experience is helping me bridge my technical foundation with product thinking — learning to approach problems from both an engineering and user-first perspective. I’m passionate about building products that create real impact — those that are grounded in user empathy, backed by data, and aligned with business outcomes. My goal is to grow into a Product Manager who can connect technical depth with strategic vision to deliver meaningful user experiences. Core Skills: Product Thinking | Market Research | User Segmentation | Product Strategy | Java | Spring Boot | REST APIs | Agile | Cross-Functional Collaboration Let’s connect if you’re interested in building technology-driven solutions that truly make a difference.

Experience

Dassault system

Specialist Java Developer

May 2022 – Present · 3 yrs 10 mos

Owned the evolution of a core CRM referential service, translating changing business requirements into scalable product enhancements consumed by multiple downstream systems.
Defined and delivered APIs and event-driven data flows to ensure reliable, low-latency access to customer and client referential data across the enterprise.
Designed system-level monitoring and reliability workflows, enabling early detection of deployment failures and improving platform stability through automated alerting.
Led data quality and performance initiatives by introducing automated deduplication and integrity checks, reducing downstream inconsistencies and improving trust in core datasets.
Partnered with platform and integration teams to design real-time message-based communication between upstream and downstream systems, ensuring consistent data synchronization.
Owned data modeling and lifecycle management across Cloud View / Exalead, including relationship definitions, indexing strategies, and scheduled data refreshes to support analytics and search use cases.
Delivered multi-source data ingestion capabilities, aligning disparate data producers into a unified, consistent referential layer for consuming applications.
Defined operational workflows for data indexing, extraction, and updates, improving system performance and observability.
Ensured platform readiness through release validation, deployment monitoring, and rapid issue resolution in collaboration with engineering and operations teams.
Instituted automated validation and regression checks to safeguard system behavior during feature rollouts and platform upgrades.