Nilesh Lahoti

About Nilesh Lahoti

Experienced Data Architect with 18+ years in data management & data engineering, cloud tech, and AI, specializing in robust data solutions across industries, leveraging cutting-edge tech for innovation and impact. Proven Track Record in Data Engineering Solution- Led Data Mesh approach projects, including data modelling, transformation, and data marketplace setup- Leveraged Snowflake, AWS Serverless, and Airflow for cloud-based data pipelines, delivering real-time insights for retail clients. AWS Cloud Technologies & Big Data Expertise- Leading cloud migration, data pipeline setup, and security implementation- Proficient in Snowflake and experienced in big data techs like Spark, Kafka, and Dataiku. Delivered end-to-end solutions for Data Lakes, Warehouses, and IoT platforms. Integration of BI Tools & Modern Architecture Principles- Led BI tool integration projects (MicroStrategy, Tableau, QlikView) with big data tech, following modern architecture principles- Expertise in data modelling and scripting (Python, Unix, Windows batch) for tailored business solutions.Eager to bring extensive expertise in technology and cloud architecture, contributing valuable insights to robust data architectures and solution strategies. Let\'s Connect!

Experience

1. Principal Architect

   HCLTech

   Jan 2026 — Present · Pune, IN

   Working with Solutioning, Offerings & Practices to provide services to the Enterprises in verticals of Manufacturing, Utilities, Life Sciences, Finance, Customer Service Management.• Building Agentic AI application solutions for finance, generating Conversation Insights at top of MS Fabric, Snowflake & Power BI, developed and deployed as webApp in Azure.• Azure DevOps architecture and implementation covering all network security and communication protocols. • Leading strategy for Data, Features, AI/ML for Complex Data & AI ecosystems.• Creating solutions around implementing Enterprise Data Management Frameworks.• Development, Enhancement & Support of multiple GenAI solutions & accelerators using various frameworks.• Research interest includes Agentic AI, Cloud native services, Digital Twins, Data-Mesh, Data Governance, LLM, Azure DevOps• Solutioning on Agentic AI & Unified Namespace for Manufacturing domain using Databricks/MS Fabric, Snowflake, Databricks, HighByte, PowerBI, Agentic AI & Palantir.• Tech Stack: Azure, AWS OpenAI, LangGraph, LangChain, RAG, Advance RAG, Langchain Data Lake/Data LakeHouse/Data Mesh Databricks, Snowflake, MS Fabric Palantir Foundry & AIP Python, PySpark, SQL

Education

• Nagpur University

  BE, Industrial Engineering

• Rutgers University

  Master of Science - MS, Industrial Engineering

Skills

• Data Warehousing
• Vertica
• Ssrs
• Hadoop
• Microstrategy Reporting
• Xml
• Business Intelligence
• Data Integration
• Sql
• Ssis
• Data Modeling
• Architecture
• Oracle
• Big Data
• Tableau
• Agile Methodologies
• Hive
• Microstrategy
• Microsoft Sql Server
• Databases
• Sharepoint
• Cognos
• Etl
• Talend