Maneet Goyal

Led the design and implementation of Manufac Magnet, a market intelligence SaaS product, utilizing a hybrid cloud environment comprising of GCP and AWS.

• Developed and optimized ETL pipelines for efficient data extraction, transformation, and loading, ensuring seamless integration and scalability across various data sources. (Python and NodeJS) – Created an intuitive and interactive dashboard UIs using D3.js, React, and ECharts, offering real-time data visualization through dynamic charts and graphs.
• 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.

Built a GraphQL API for a London based retail chain utilizing Terraform and AWS.

• Developed a structured GraphQL schema defining types, queries, and mutations to facilitate data interactions, such as retrieving products and managing inventory.
• Used Terraform to provision AWS AppSync and DynamoDB for scalable API infrastructure.
• Implemented AWS Lambda resolvers to handle GraphQL queries and mutations efficiently.

Built data visualization components for a New York based cybersecurity firm using technologies like D3.js and Three.js alongside ReactJS and TypeScript.

• Managed the design and development of intuitive user interfaces, ensuring high-quality visualization of complex data across various devices and browsers.
• Leveraged unit and E2E testing with tools like Jest and Playwright, assuring optimal performance and reliability of the visual applications developed.
• 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.
• Built data-heavy apps with React, TS, Node/Python, PostgreSQL/Redis, REST/GraphQL, AWS, CI/CD, choropleth maps, and visualization APIs.

• Developed mobile responsive d3.js based visualizations for cybersecurity and cloud computing applications.
• Implemented a fully customized d3.js based heat map involving hexagon grid and calendar grid to visualize the memory and CPU consumption of machines over time.
• Implemented time scale and numeric scale based histograms using d3.js to visualize the distribution of computing resources.
• 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.

• Designed a custom data model/JSON specification to persist, share and validate charts/visualizations across the web.
• 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.
• Implemented d3.js based subroutines to preprocess raw data for visualization and integrated the same with amCharts workflows.
• Implemented localization and internationalization of charts to respect the locale conventions while displaying date/time, number and text (including RTL support).