Video Downloader & Media Pipeline | Node.js, Express.js, MongoDB, Docker, Jenkins, FFmpeg, Cheerio

• Built an end-to-end content operations service for multi-brand pipelines with scheduled scraping and automated

media processing.

• Scraped YouTube ytInitialData using Cheerio and stored normalized videos, shorts, and episodes in MongoDB with

deduplication logic.

• Automatedamediaprocessing pipeline using yt-dlp and FFmpeg for H.264/AAC transcoding, poster extraction, and

platform uploads.

• Containerized the application with Docker including FFmpeg and yt-dlp, and integrated Jenkins for CI/CD readiness.