Rakesh Sharma

About Rakesh Sharma

Senior Principal Architect for Data & AI with 17+ years of experience running multiple high-impact projects simultaneously across financial services, energy, insurance, and e-commerce. I own the full architectural journey — from strategy and design through to delivery — for clients across Canada, Australia, the UK, and India.Data Migration & Modernisation — End to EndMigration is one of my deepest areas of expertise. I have led enterprise-scale migrations from Oracle, DB2, and SQL Server to Snowflake and AWS cloud platforms — handling every phase: legacy assessment, data modelling, ETL redesign, Lakehouse architecture, cutover planning, and post-migration optimisation. I implement RBAC, data masking, lineage, and governance frameworks so the new platform is enterprise-ready from day one. I manage multiple migrations concurrently across cross-functional business, engineering, and compliance teams.Snowflake Cortex AI — Recent BuildsI have recently delivered three production solutions built natively on Snowflake Cortex AI:FinOps Dashboard (select.dev alternative) — Built a Snowflake-native cost intelligence platform replicating and extending select.dev\'s core capabilities: warehouse utilisation analysis, query cost attribution, AI-powered optimisation recommendations, savings tracking, anomaly detection, and a natural language cost explorer — all running inside Snowflake at zero licensing cost.Data Classifier (CDE Scanner) — Designed and built a Critical Data Elements scanner using Cortex AI that automatically discovers, classifies, and tags sensitive columns (PII, financial, regulatory) across enterprise Snowflake environments — with semantic matching and LLM-generated definitions replacing manual cataloguing effort.Cortex AI CDE App — A full Streamlit-in-Snowflake application with Cortex AI chat interface, enabling data governance teams to query scan findings in natural language and get instant, context-aware insights across their data estate.AI — RAG, Agentic AI & MCPI architect and deliver GenAI solutions including RAG pipelines for financial document intelligence, Agentic AI for autonomous data governance workflows, memory-driven co-pilots via Model Context Protocol (MCP), and LLMOps frameworks managing the full model lifecycle in production.Snowflake · Cortex AI · AWS · Azure · GCP · RAG · Agentic AI · MCP · LLMOps · FinOps · Data Migration · Lakehouse · Terraform · Financial Services

Experience

1. Principal Data Architect

   Fidelity Canada

   Feb 2022 — Present · Toronto, ON, CA

Education

• Guru Nanak Dev University

  B.Tech, Computer Science Engineering

  2005 — 2009

Skills

• Ibm Mq
• Soap
• Apache Spark
• Tableau
• Sql
• Restful Webservices
• Service-Oriented Architecture (Soa)
• Mapreduce
• Soa
• Jax-Ws
• Java
• Spring Framework
• Ibm Wmb
• Oracle
• J2ee Web Services
• Ibm Integration Bus
• Java Enterprise Edition
• Spring Integration
• Web Services
• Hive
• Spark Sql
• Oozie
• Controlm
• Big Data Analytics
• Hadoop
• Websphere Mq
• Maven
• Apache Pig
• Flume
• Xml
• Big Data
• Jcaps