Chandan Singh
Software Architect @Pathfactory
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WORK HISTORY
Software Architect @Pathfactory
EDUCATION
Veer Bahadur Singh Purvanchal University, Jaunpur
Bachelor of Arts - BA
Dr. A.P.J. Abdul Kalam Technical University
Master of Computer Applications - MCA
ABOUT CHANDAN SINGH
I am a Software Architect (Data) with 13+ years of experience building scalable systems, data pipelines, and AI-driven platforms.Over the years, I have evolved from Java and Python-based application development to Big Data systems (Spark, Hadoop), and now to designing modern Data & AI platforms. I have built microservices, developed large-scale data pipelines, and led teams to deliver reliable, high-quality systems.In my current role, I design and build a unified Data & AI platform that powers analytics, data sharing, data lake APIs, and emerging AI use cases across the organization. At an early stage, I am working on designing and building AI data pipelines—integrating AI capabilities into the platform using practical patterns such as APIs, RAG, and agent workflows.I work across the full data lifecycle—designing end-to-end data pipelines using Snowplow, Fivetran, and Snowflake—ensuring data is reliable, governed, and ready for consumption. I also design backend services using Python and Java-based microservices to expose data and AI capabilities through well-defined platform APIs.From a platform perspective, I focus on defining how data and AI systems are structured and scaled—covering data flow (batch vs real-time), storage and processing patterns, and integration of AI into production systems.I focus on bringing data pipelines, AI data pipelines, and backend services together as a cohesive platform—so they can be reused, scaled, and extended across multiple use cases.Throughout my career, I have led architecture decisions, guided teams, and worked closely with stakeholders to deliver systems aligned with business needs.I am currently focused on growing as a Data & AI Platform Architect—building platforms where data and AI capabilities are standardized, reusable, and deeply integrated across the organization.
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