Data Engineering examples for Airflow, Prefect; dbt for BigQuery, Redshift, ClickHouse, Postgres, DuckDB; PySpark for Batch processing; Kafka for Stream processing
A gitpod config for using dbt-bigquery in vscode
ETL Project using Airflow, DBT, Bigquery,Postgres,Docker and Docker Compose
Production-oriented GCP/BigQuery Data Engineering portfolio: SQL, dbt, Terraform, Python, Data Quality/reconciliation, security/governance, and CI/CD.
This project is an automated end-to-end data pipeline designed to track and analyze stock market performance alongside media sentiment. By orchestrating the dataflow from the Polygon API through a dbt-transformed BigQuery warehouse, the system turns raw financial data into an actionable Star Schema.
This project takes the public GitHub dataset on BigQuery and models it into a Star Schema. It provides a single source of truth, enabling analysis of market share and open-source legal compliance.
To associate your repository with the dbt-bigquery topic, visit your repo's landing page and select "manage topics."