This documentation is like a quick snapshot of my project in the data field, showing off my skills and know-how in this area.
A complete pipeline to pull data from Scryfall's "Magic: The Gathering"-API, via Prefect orchestration and dbt transformation.
Solution for documenting & administration Events, Parameters & Annotations for Google Analytics 4 (GA4) using Google Sheet, BigQuery & Looker Studio.
An end-to-end data pipeline which extracts divvy bikeshare data from web loads it into data lake and datawarehouse transforms it using dbt and finally , a dashboard to visualize the data using looker studio, the pipeline is orchestrated using prefect
Data Engineering Project to Extract and Process Solana Reddit Data
Analysis of 311 Service Requests for the City of NYC (from 2010 to 2023) Tech: Prefect cloud, dbt core, BigQuery, Compute Engine, CloudRun, Artifact Registry, Terraform, Docker
End-to-end ELT data engineering project
This repository contains a custom connector script to fetch university data from universities.hipolabs.com and visualize it in Looker Studio using Google Apps Script.
The officially supported Matomo Connector for Looker Studio enables you to explore your Matomo data in Looker Studio at no cost. You can connect to both Matomo Cloud instances or On-Premise instances using just a Matomo Auth Token.
Pipeline orchestration and analysis of Minneapolis 311 Service Request data.
Steam and Batch pipeline to to show updates in DataTalksClub Youtube video analytics
Spotify API, Airflow, Docker, AWS S3, Snowflake, dbt, localstack, Looker Studio
A containerized end-to-end analytics of sales data using dbt, Airbyte, Postgres, and Looker Studio.
Repositório com os notebooks das atividades do curso Profissão: Analista de Dados na EBAC.
An end-to-end data engineering project on github activities data
ETL pipeline for cleaning/transforming historical Bitcoin price data, and web-scraping new data going forward in order for ChatGPT to analyze and email you some fun predictions of the future price of Bitcoin.
A utility to download all Google Tag Manager resources to a series of BigQuery tables
Python package for uploading files and folders to Google Drive
Data engineering project analyzing nyc taxi data to extract meaningful insights
This is a PySpark-based data pipeline that fetches weather data for a few cities, performs some basic processing and transformation on the data, and then writes the processed data to a Google Cloud Storage bucket and a BigQuery table.The data is then viewed in a looker dashboard
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