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New Delhi, India-
Maneet Goyal
Full Stack Software Engineer
linkedin.com/in/maneetgoyal
github.com/maneetgoyal
dev.to/maneetgoyal
Maneet is a Full Stack Web Developer with over 6 years of experience in developing pixel-perfect, mobile-responsive, and offlinefriendly (PWAs) dashboards & UIs. He is well-versed in web technologies including JavaScript, TypeScript, HTML, and CSS, and
has worked extensively with UI frameworks and libraries like ReactJS, MaterialUI, Formik, SASS, and Bootstrap, among others.
The backend stack heβs experienced in includes NodeJS, PostgreSQL, Redis, MongoDB, GCP and AWS cloud services. As regards
his QA approach, he strives to deliver a highly reliable & cross-browser compatible code base with unit tests via Jest, E2E tests via
Playwright/Puppeteer, Visual Regression tests via Storybook/Loki, fully linted and formatted code via ESLint & Prettier, and a Jenkins/GitHub Actions CI/CD pipeline for automated testing and deployment.
FRONT END SKILLS
Languages
Data Visualization
UI Stack
Low Code & Automation
TypeScript, JavaScript, HTML, CSS
d3.js, amCharts, Apache ECharts
ReactJS, MaterialUI, Formik, Bootstrap, SASS, NextJS
Retool, Google AppSheet, Frappe
BACK END SKILLS
Languages/Tools
JS Libraries
Databases
API Development
TypeScript, JavaScript (NodeJS), Python, C
ExpressJS, EJS, Multer, NodeMailer
PostgreSQL, Redis, MongoDB
REST, GraphQL (Apollo, AWS AppSync)
TOOLING AND DEVOPS
Data Model Design
Cloud Stack
AWS Stack
IAC
DevOps
Testing
Tooling
Productivity
JSON Schema, Zod
AWS, GCP
Amplify, EC2, RDS, SNS, ElastiCache, Cognito, EventBridge, DynamoDB
AWS CloudFormation, Terraform
GitHub Actions (CI/CD), PM2, Docker, Shell Scripting
Jest, Playwright, React Testing Library, Supertest
Storybook, ESLint, Prettier, Webpack, Rollup, Lerna, TypeDoc, Husky
Notion, GSuite, Slack, Discord, Trello, ChatGPT
INDUSTRIAL EXPERIENCE
Lead Full Stack Developer
Sep 2020 β Present
Manufac Analytics
Gurugram, HR, India
β’ Led the design and implementation of Manufac Magnet, a market intelligence SaaS product, utilizing a hybrid cloud environment
comprising of GCP and AWS.
β Developed and optimized ETL pipelines for efficient data extraction, transformation, and loading, ensuring seamless integration
and scalability across various data sources. (Python and NodeJS)
β Created an intuitive and interactive dashboard UIs using D3.js, React, and ECharts, offering real-time data visualization through
dynamic charts and graphs.
β Managed efficient codebase through version control systems like Git, fostering collaborative and constructive code reviews of
TypeScript and Python subroutines to ensure code quality and maintainability.
β’ Built a GraphQL API for a London based retail chain utilizing Terraform and AWS.
β Developed a structured GraphQL schema defining types, queries, and mutations to facilitate data interactions, such as retrieving
products and managing inventory.
β Used Terraform to provision AWS AppSync and DynamoDB for scalable API infrastructure.
β Implemented AWS Lambda resolvers to handle GraphQL queries and mutations efficiently.
β’ Built data visualization components for a New York based cybersecurity firm using technologies like D3.js and Three.js alongside
ReactJS and TypeScript.
β Managed the design and development of intuitive user interfaces, ensuring high-quality visualization of complex data across
various devices and browsers.
β Leveraged unit and E2E testing with tools like Jest and Playwright, assuring optimal performance and reliability of the visual
applications developed.
β Implemented a highly interactive D3.js and ReactJS based calendar heatmap library to visualize the frequency of a generic
event over a span multiple years.
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New Delhi, India-
Maneet Goyal
Full Stack Software Engineer
linkedin.com/in/maneetgoyal
github.com/maneetgoyal
dev.to/maneetgoyal
Software Development Engineer, ArcGIS Charts Team
Jun 2018 β Sep 2020
ESRI
Redlands, CA, USA
β’ Designed a custom data model/JSON specification to persist, share and validate charts/visualizations across the web.
β’ Developed a data visualization API for charts like histogram, bar charts, scatter plots, pie chart, etc. using amCharts and TypeScript
to map our custom specifications to amCharts specifications while optimizing the rendering process.
β’ Implemented d3.js based subroutines to preprocess raw data for visualization and integrated the same with amCharts workflows.
β’ Implemented localization and internationalization of charts to respect the locale conventions while displaying date/time, number
and text (including RTL support).
EDUCATION
Master of Science in Computational Science and Engineering
Georgia Institute of Technology, Atlanta, US
β’ Minors in Environmental Engineering
β’ Career, Research, and Innovation Development Conference - Poster Competition Winner
May 2018
GPA: 3.6/4.0
Bachelor of Engineering in Petrochemical Engineering
Maharashtra Institute of Technology, Pune, India
β’ Late Shri Vasantrao Naik Gold Medal for finishing top of the class
β’ BPCL Award for Excellence in Academics
May 2016
GPA: 4.0/4.0