Sumesh Narayana Menon

Engineering Lead @ Google | Data & AI

Role
Engineering Lead at Google
Location
San Jose, CA, US
LinkedIn followers
500 followers

About Sumesh Narayana Menon

A technology enthusiast, an experienced data engineering and analytics professional with more than 17 years of experience in the data engineering & analytics space in different industry verticals using various technology stacks.If you would like to know more about me, please connect me here or reach out to me at menonsumeshn(at)gmail(dot)com.

Experience

  1. Engineering Lead

    Google

    Jul 2025 — Present · Sunnyvale, CA, US

    My team is part of the Google Cloud Supply Chain organization, which handles the manufacturing test quality data of all components in the Google Data Centers across the globe. The team deals with an impressive set of innovative products that power the Gemini AI and other storage and compute services. I am responsible for managing the tools and services that collect the manufacturing and test data for these components.

Education

  • Springboard

    Data Science Career Track, Data Science

    2017 — 2017

  • Stanford University

    Stanford Center for Professional Development (SCPD), Graduate Certificate in Data Mining and Applications

    2011 — 2014

  • California State University, Fullerton

    MS, Software Engineering

    2007 — 2009

  • Government Engineering College, Thrissur

    B.Tech, Civil Engineering

    1998 — 2002

  • Georgia Institute of Technology

    Master's degree, Computer Science

    2018 — 2022

Skills

  • Informatica
  • Business Intelligence
  • Crystal Reports
  • Integration
  • Agile Methodologies
  • Software Development Life Cycle (Sdlc)
  • Business Objects
  • Data Science
  • Ssis
  • Data Warehouse Architecture
  • Pl/Sql
  • Software Project Management
  • Oracle
  • Requirements Analysis
  • Ssrs
  • Etl
  • Enterprise Architecture
  • Sdlc
  • Solution Architecture
  • Business Analysis
  • Sql
  • Olap
  • Business Intelligence Tools
  • Requirements Gathering
  • Microsoft Sql Server
  • Data Warehousing
  • Amazon Redshift
  • Database Design
  • Cognos
  • Data Integration
  • Data Modeling
  • Machine Learning

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