A hands-on project to practice Postgres, DBT, Airflow, Superset and Docker

This project is an orchestration of the end to end pipeline staring form using the weather stack api, parsing the data using python, staging the data into postgres then transforming and placing the data back using DBT, visualized using apache superset and orchestrated using airflow

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A mini project that builds an automated data pipeline using Airflow, dbt, Postgres, and Superset

This is a E2E Solution for a data pipeline using Postgres, DBT, Airflow and Apache Superset

Automated data pipeline using Docker, Airflow, dbt, Postgres, and Superset Windows 11 WSL-Ubuntu 24.04

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Data pipeline using Airflow, dbt, Postgres, and Superset

Data pipeline using Airflow, dbt, Postgres, and Superset

automated data pipeline using Airflow, dbt, Postgres, and Superset

An automated data pipeline using Airflow, dbt, Postgres and Superset

Build an automated ELT pipeline that ingests live data from an API, transforms it using dbt, stores it in Postgres, and creates a near-real-time dashboard in Superset. This project leverages Apache Airflow for workflow orchestration and uses Docker containers for Airflow, dbt, Postgres, and Superset on Windows WSL Ubuntu 24.

Production weather data pipeline with Airflow, dbt, Postgres, and Superset

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Solution for ITSM Data Analyst coding challenge using Airflow, DBT, Postgres, and Superset.

End-to-end automated data pipeline using Docker, Apache Airflow 3.0, dbt, Postgres, and Python. Includes API ingestion, ELT transformation, modeling using dbt, and scheduled orchestration with Airflow — fully containerized.

In this project, I am building a fully automated data pipeline using Python, Pandas, Airflow, dbt, Postgres, and Superset

End-to-end ITSM analytics pipeline using Apache Airflow, DBT, Postgres, and Apache Superset for ticket volume, resolution, and closure insights.

End-to-end data pipeline orchestrated with Airflow that uses banking data from Dlytica Postgres, uploads it to local Postgres and transforms it using Dbt in order to be visualized with Apache Superset

DigitalXC Data Analyst Coding Challenge — End-to-end data pipeline and dashboard using Postgres, DBT, Airflow, and Superset. Covers data ingestion, transformations, workflow orchestration, and ITSM performance visualizations.

Plataforma completa de engenharia de dados em microsserviços, integrando pipelines ELT com Airflow, modelagem e transformações com DBT, Data Warehouse em Postgres, monitoramento com Prometheus/Grafana e visualização analítica com Superset.

An automated ELT pipeline from ingesting live data from an API to creating a near-realtime dashboard, using Windows WSL Ubuntu 24 and Docker images of Apache Airflow 3.0 (the latest), dbt, Postgres, and Apache Superset.