Build an automated ETL pipeline for cryptocurrency data with CircleCI
Blog post from CircleCI
The text outlines a comprehensive tutorial for building a CI/CD-driven ETL (Extract, Transform, Load) pipeline that processes cryptocurrency data using the CoinGecko API, with the final output being a Markdown file showcasing the top 10 cryptocurrencies by market cap. This file is automatically uploaded to an AWS S3 bucket using CircleCI for continuous integration and delivery. The guide covers the setup of necessary accounts and dependencies, detailed coding instructions for the ETL process—comprising data extraction, transformation, validation, and loading—along with the CircleCI configuration to automate these tasks. It also includes steps for configuring AWS identity and environment variables to facilitate secure data uploads. By following this tutorial, users can efficiently create a live cryptocurrency report that is maintained entirely through code and cloud infrastructure, offering opportunities for further customization such as email alerts, HTML dashboards, and trend charts.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Data Pipeline | 31 | 486 | 189 | 75 | -14% |
| Real-time | 5 | 4,065 | 968 | 231 | -6% |
| Observability | 1 | 1,462 | 347 | 128 | -22% |
| RAG | 1 | 1,006 | 206 | 82 | -15% |
| Serverless | 1 | 842 | 169 | 80 | +38% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.