Jai A.

Data & AI Engineer @ PepsiCo | GenAI & RAG Orchestration (LangChain/LangGraph) | Python, SQL, PySpark, Azure, Databricks, PyTorch

Role
Data Engineer at PepsiCo
Location
Gurugram, HR, IN
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Jai A.

Optimization-driven Data & AI Engineer with over 5 years of experience in designing, building, and deploying scalable data platforms across major cloud environments (Azure, AWS), and specializing in Generative AI (RAG, LLMOps) projects. Proven track record of delivering $150K+ in cost savings and 95% efficiency improvements through optimizations. Expertise spans the full stack: Python, PySpark, SQL, MLOps, LLMOps, and cloud-native ETL/ ELT frameworks, with a strong focus on high-performance, cost-effective, and future-proof architectures.I enjoy meeting new people and hearing their perspectives. You can reach out to me at j••••••••@gmail.com or via a DM.

Experience

  1. Data Engineer

    PepsiCo

    Mar 2023 — Present · Gurugram, IN

    Optimized enterprise-scale financial data infrastructure, delivering over $150K in annual cost savings and a 95% reduction in deployment cycle time- Engineered high-performance ETL pipelines using PySpark, Databricks, and Azure Synapse to transform and aggregate 10TB+ financial data, achieving a 35% reduction in cloud processing usage and 25% cost savings on existing workflows- Developed automated SQL generation engine in Python integrated with stakeholder reporting, drastically reducing manual deployment time from 2 days to 1 hour while ensuring comprehensive data validation and master data reconciliation- Enhanced data governance and reliability by implementing a quarantine table architecture for bad record capture and rigorous validation checks, improving downstream data asset integrity and readiness for ML applications- Optimized Azure Kubernetes Service (AKS) auto-scaling configurations to dynamically manage cluster resources based on data load, successfully minimizing idle capacity and reducing infrastructure costs by 80%—demonstrating hands-on MLOps platform optimization.

Education

  • Indian School of Business

    Advanced Management Programme, Business Analytics

  • International Institute of Information Technology Bangalore

    PGD, Data Science

  • Sri Venkateswara College, Delhi University

    Bachelor of Science, Statistics (Hons.)

  • Liverpool John Moores University

    Master of Science - MS, Data Science

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Jai A. — Data Engineer at PepsiCo in Gurugram, HR, IN | Unifers