Orchestrate extraction Github API data via Airflow and serve as a DBT materialized view
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Updated
Nov 2, 2021 - Python
Orchestrate extraction Github API data via Airflow and serve as a DBT materialized view
DE Project to keep track of my personal health metrics in a Data Warehouse
Data engineering project using a streaming dataset from SPTRANS API to get data from the currently running buses that operates in some regions of São Paulo
Demo of ETL pipeline using python, dbt, dagster, and duckdb
creating a scalable data warehouse that will host vehicle trajectory data extracted by analysing footage taken by swarm drones and static roadside cameras.
An end-to-end data pipeline deployed on GCP that extracts cryptocurrency data for analytics.
Este projeto utiliza DBT (Data Build Tool) para gerenciar e transformar dados de um Data Warehouse (DW) de commodities. O objetivo é criar um pipeline de dados que trata e organiza os dados de commodities e suas movimentações para análise.
This DBT (Data Build Tool) project leverages GCP (Google Cloud Platform) services, specifically Google BigQuery, and Metabase for data transformation, visualization, and Sales Dashboard creation, while also utilizing Soda (Streaming Data Build Tool) for real-time data processing
A proof-of-concept dbt project that deploys dbt docs sites on S3 for each branch opened. Site link below 👇 password 123
Analysis of NYC's citibike data. Technologies: Python , Prefect, dbt, Terraform , Looker data studio
An ELT pipeline built for the pNEUMA open dataset of naturalistic trajectories of half a million vehicles collected by a swarm of drones in a congested downtown area of Athens, Greece.
Hall of Fluffy Floks! (analytics on Fluffy Folks related data)
This project demonstrates how you can build downstream data pipeline using dbt in athena
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