Krish P.

Hello! With over 6 years of experience in full-stack development, data scraping, automation and API integrations, my work helps businesses collect their data, connect their tools, and build web apps that run reliably. On the full-stack side, modern web applications are built with Next.js, React and Node.js, backed by MySQL and other SQL databases. That includes dashboards, customer portals, booking and payment flows, admin tools and internal apps, all fast, responsive and secure. Database design, query optimization and clean data models are part of every build. On the scraping side, custom scrapers are built in Python (BeautifulSoup, Scrapy, Selenium) and Node.js (Puppeteer, Cheerio). They handle dynamic, JavaScript-heavy sites, logins, form submissions, pagination and large-scale extraction. Data is cleaned, deduplicated and delivered as CSV, Excel or JSON, or straight into a database or Google Sheet. On the Google side, Google Apps Script is a core specialty: custom Sheets automations, scheduled triggers, Gmail and Drive workflows, form processing, and mobile-friendly web apps built on top of Sheets. This extends to the Google Sheets, Drive, Gmail and Calendar APIs, for connecting Google Workspace with outside systems. On the integration side, REST and GraphQL APIs, webhooks, OAuth and scheduled data pipelines are everyday work. Recent projects include payment integrations with Stripe, Plaid and Authorize.net, automated daily data jobs, third-party API syncs, and deployments on Vercel. Currently working as a Data Engineer and full-stack developer, with a B.S. in Computer Science from Purdue University and prior experience in the sports betting data industry. Whether you need a full web app, a one-time data extraction, an automated pipeline or a custom integration, clean and reliable results will be delivered on time. Let's discuss your project!