san089/goodreads_etl_pipeline
An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2393
- days_rel: n/a
- days_push: 2369
- n_releases_24m: 0
Adoption not part of the score
1542 stars · 247 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An end-to-end ETL pipeline that ingests Goodreads API data into an AWS S3 data lake, transforms it with Spark on EMR, and loads it into a Redshift data warehouse. Apache Airflow orchestrates the jobs, data quality checks, and analytics queries.
Use cases
- build a data lake and warehouse from Goodreads API data
- learn how to orchestrate Spark ETL jobs with Airflow
- set up an end-to-end data engineering pipeline on AWS
- load S3 data into Redshift with upserts
- run scheduled data quality checks on warehouse tables
- practice building an analytics platform on cloud infrastructure
When to choose
- you want a reference architecture for an AWS-based ETL pipeline
- you're learning Airflow, Spark, EMR, and Redshift integration
- you need a template for landing/working/processed zone data lake patterns
When to avoid
- you need a production-ready, actively maintained pipeline (last release 2020)
- you don't use AWS services like S3, EMR, or Redshift
- you want a lightweight local ETL without cloud infrastructure costs
Facets
application · maturity maintenance
etl streaming data-science analytics big-data cloud-computing python cloud apache-airflow apache-spark aws-redshift aws-s3 data-lake data-warehouse goodreads-api emr data-quality-checks orchestration data-engineering aws docker linux
1 source
- readme: https://github.com/san089/goodreads_etl_pipeline · fetched 2026-08-28 · b726b96566a2
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| san089/goodreads_etl_pipeline | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="san089/goodreads_etl_pipeline")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem