Expert Data Ingestion: 5TB Media Scraping & Migration Success

Expert Data Ingestion: 5TB Media Scraping & Migration SuccessExpert Data Ingestion: 5TB Media Scraping & Migration Success

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Ratnesh Shukla

• 3h

I successfully delivered a project involving a massive data ingestion pipeline to scrape, process, and migrate over 5TB+ of geo-restricted media (3,000+ videos).

Web Scraping Backend Development Data Engineering FFmpeg Node.js Python

Rayan Rizon

pro

• Jun 14

I’ve designed two different directions for the same product—one focused on a bold, data-heavy experience, and the other on simplicity and usability. Which one do you prefer, and what stands out to you most?

Node.js React

2 voted

50%

2 voted

50%

4 votes

Closed

Boluwatife Delight

• Jun 15

Going for the first design on the left

Ash Moarfa

• Jun 13

I’ve finally finished about 150 design assets for the game I’m creating in the Figma ecosystem. I generated them using Figma Make and polished and standardized them in Figma Design with the help of Figma Agent to ensure a cleaner result. I can’t wait to move on to the BUILDING phase in Figma Make 😆 D-5 before the submission!

configmakeathon Figma

Vémé Studio

• Jun 14

that's make me think about "habbo", so muck souvenir ! the design are soo cool

Andy K

• Jun 14

Automated API Data Pipeline to Google Sheets

A fully automated data-sync workflow that pulls information from external APIs, processes it, and updated a Google Sheet on a scheduled basis. This system eliminates manual data entry ensures real-time accuracy, and provides teams with a single source of truth for reporting, analytics, and operational decision-making. The workflow includes authentication, data extraction, transformation, validation, and structured output, all running automatically in the background.