Jay Nagar

About Jay Nagar

AI & Data Engineering Leader | LLM/GenAI | RAG Pipelines | Medallion Architecture | GCP · AWS · AzureWith 12+ years of experience, I build enterprise-scale data platforms and lead GenAI/LLM initiatives that turn complex data challenges into business impact.My work spans the full data stack, from architecting Medallion Data Lakes and real-time Data Warehouses to shipping production-grade RAG pipelines and agentic AI workflows using GPT-4, Gemini, LangChain, and Vertex AI.I believe the biggest productivity unlock for engineers today is AI-assisted development. I actively use Cursor and Claude Code to accelerate delivery, achieving 2x engineering throughput in my current team. What I build:• LLM + RAG-powered pipelines for automated resolution & personalisation• Medallion Architecture (Bronze/Silver/Gold) on GCP BigQuery• Real-time Customer Data Platforms with identity resolution• Agentic AI workflows that retrieve context and take autonomous actions• Cloud cost-optimised data infrastructure (30%+ reduction in spend) Platforms: GCP | AWS | Azure🧠 AI/LLM: LangChain · LlamaIndex · Vertex AI · GPT-4 · Gemini · RAG · Prompt Engineering Big Data: Spark · Kafka · Airflow · Hadoop · Hive · DBT Databases: BigQuery · Snowflake · PostgreSQL · Neo4J · MongoDB Open to connecting with data engineers, AI builders, and tech leaders.

Experience

1. Data Engineering

   Priceline

   Apr 2020 — Present · Mumbai, IN

   Leading the design and delivery of AI-powered data infrastructure at Priceline, combining large-scale data engineering with cutting-edge LLM capabilities.Key achievements:• Architected and shipped LLM + RAG-powered data pipelines using GPT-4, Gemini, LangChain & Vertex AI, automating support resolution and personalisation at scale• Designed and implemented Medallion Architecture (Bronze/Silver/Gold) for the enterprise Data Lake and Data Warehouse on GCP BigQuery, enabling reliable analytics and ML feature serving• Built agentic AI workflows enabling models to retrieve context from internal APIs and execute autonomous data actions, reducing manual resolution time by 40%• Engineered a real-time Customer Data Platform with identity resolution, powering personalised AI experiences for millions of users• Orchestrated full cloud migration (HDFS/RDBMS → GCP) across BigQuery, Dataflow, Composer & Bigtable, delivering 30% infrastructure cost reduction• Introduced Cursor & Claude Code for AI-assisted development, achieving a 2x increase in engineering throughput across the team

Education

• Kendriya Vidyalaya

  HSC

  2008 — 2009

• Atmiya Institute of Technology & Science

  Bachelor of Engineering (B.E.), Computer Engineering

  2009 — 2013

• Kendriya Vidyalaya

  SSC

  2006 — 2007

Skills

• Query Tuning
• Databases
• Sql Clustering
• Puppet
• Linux Clustering
• Unix
• Ccna
• Mysql
• Sql
• Linux
• Rhce
• Linux Firewalls
• Mta
• Teaching
• Query Writing
• Mysql Cluster
• Chef
• Mirroring
• Database Security
• Performance Tuning
• Scheme
• Red Hat Linux
• Database Administration
• Linux System Administration