Vivek Pandey
Associate Manager
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolVivek Pandey is an Associate Manager at Accenture with over a decade of hands-on experience administering Oracle databases and PeopleSoft HRMS and Financial applications, leading full lifecycle implementations, upgrades, and cloud migrations. He combines technical leadership—managing teams of DBAs and PeopleSoft admins—with deep operational expertise in PeopleTools, PUM image updates, OCI migrations, OEM monitoring, PHIRE version control, and PKI setups like Java KeyStore and Oracle Wallets. Vivek has driven high-availability and performance initiatives including PeopleSoft Performance Monitor, Enterprise Search, and load-balanced architectures, and coordinated complex change-package and patching strategies across functional teams. He also codes: his GitHub showcases a MEVN full‑stack e-commerce project where he implemented auth, catalog search, and order workflows, reflecting a practical full‑stack mindset beyond enterprise ops. Based in Toronto, he balances strategic architecture work with mentoring junior engineers and pragmatic automation to reduce operational toil.
10 years of coding experience
7 years of employment as a software developer
Rajiv Gandhi Proudyogiki Vishwavidyalaya
English
Github Skills (16)
apim10
authentication10
user-authentication10
nodejs10
javascript10
api10
expressjs10
vue10
mongodb10
api-design10
ecommerce10
mongodb-database10
vue-jsx10
babel-core9
babel69
Programming languages (5)
Github contributions (5)
Viveckh/Veniqa
Nov 2018 - Feb 2021
MEVN Full Stack E-Commerce Solution. Built using MEVN Stack (Node.js, Express.js, Vue.js, MongoDB) with Developer Friendliness and Cloud Integrations in mind. Previously Powered the Veniqa New York Startup. 100% Customizable. For Demos and Documentation, Visit Official Website
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 release, 1 review, 283 commits in 2 years 2 months
Contributions summary:Vivek began by initializing the server and setting up the basic structure of the MEVN stack e-commerce application. The contributions evolved to include essential package installations like Babel for ES6 module support and CORS configurations to allow cross-origin requests. Further work involved the implementation of a security system featuring signup, login, and session handling, along with the integration of a product catalog search and order management including cart functionalities.
ecommerceexpressstartup-templateinventory-managementshopping-cart
Viveckh/LilHomie
Feb 2019 - Apr 2020
A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.
Contributions:31 commits, 24 pushes, 1 branch in 1 year 2 months
pythonweb-crawlermachine-learning-projectsdata-miningpredict
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