A portable Datamart and Business Intelligence suite built with Docker, Mage, dbt, DuckDB and Superset
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Updated
Nov 9, 2024 - Dockerfile
A portable Datamart and Business Intelligence suite built with Docker, Mage, dbt, DuckDB and Superset
The Zoomcamp MLOps Course covers tools like MLflow, Mage, Flask, Prometheus, Evidently, Grafana, Prefect, Terraform, and GitHub Actions. It emphasizes experiment tracking, model deployment, monitoring, CI/CD, and orchestration, culminating in an end-to-end project integrating best practices in MLOps.
An end-to-end data engineering pipeline that processes and analyzes Maintenance Work Orders using Mage, Docker, Google BigQuery, MariaDB, and Looker Studio. It features a seamless integration of cloud and open-source tools for scalable data storage, transformation, and visualization.
End-to-end data engineering project
Data modeling and ETL pipeline for data analytics on Uber dataset using Google cloud storage, BigQuery, and Looker Studio
A data engineering project built around Smogon's Stats API.
Solutions for @DataTalksClub's Data Engineering Zoomcamp 2024.
Docker image for Mage AI deployment using Docker
mlops zoomcamp capstone project
Performed data analytics on Uber data using various tools and technologies, including GCP Storage, Python, Compute Instance, Mage Data Pipeline Tool, BigQuery, and Looker Studio.
In this project, I built a data pipeline using Mage.ai for ETL, GCP for storage, BigQuery for querying, and Looker Studio for analytics. This project helped me learn how to process, store, and visualize data effectively using modern tools.
An end-to-end data engineering project using Amazon S3, EC2, mage.io, Google BigQuery and Looker.
Personal project for Data Engineering Zoomcamp
The CNPJ Data ETL Pipeline is designed to automate the download, processing, and storage of public CNPJ data from the Brazilian Federal Revenue. The pipeline is built with Mage.ai and AWS S3 to ensure efficient data management and scalability.
Engineered a robust data pipeline using Google Cloud Platform (GCP) services like Cloud Storage, Compute Engine, BigQuery, resulting in a 30% decrease in data processing and analysis time of the San Francisco Crime dataset.Designed an interactive dashboard using Looker Studio, empowering stakeholders to explore crime data visually.
A quick analysis of Yellow Taxi cabs riding in New York 2022
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