A flexible data integration tool to help nonprofits connect to their data collection tools and ERP systems

This project showcases the implementation of a data pipeline using Apache Airflow. Leveraging the OpenWeather API, it efficiently fetches real-time weather data and performs ETL processing. Results are seamlessly stored in AWS S3 buckets for further analysis. Moreover, the integration of Slack notifications ensures timely alerts to myself.

Ready to go Apache Airflow stack for docker

Data Engineering using Apache Airflow

Projects related to ETL data pipelines, Kubernetes and Go REST API development

An EL pipeline built with Apache Airflow that downloads a file from the web uploads it to Google Cloud Storage, and creates an external table in BigQuery for data storage and analysis.

A comprehensive data engineering pipeline, orchestrates data workflows with Apache Airflow, Python, Kafka, Zookeeper, Spark, and Cassandra. Containerized using Docker: to deploy and scale effortlessly. This Etsy API Data Pipeline extracts, processes, and analyzes Etsy marketplace data—retrieving product listings, shop details, and reviews.

Invoice de-duplication via Azure Form Recognition, OpenAI, Apache Airflow and Redis Enterprise VSS

Airflow sandbox

Data pipelines created and monitored using Airflow to feed data into Redshift

Apache Airflow config scripts for my very stubborn Mac 💻

Data pipeline that fetches recently played songs in the past 24 hours using Spotify API and saves the data in the SQLite database. Scheduled to run daily using Apache Airflow.

This is a tool to collect title and url from videos posted on youtube.

POC do curso Apache Airflow: The Hands-On Guide utilizando dados de paridade de moedas financeiras

This project is destinate a study for create a environment Apache Airflow

How to configure Apache Airflow using CDK (Cloud Development Kit)

Entire ETL pipeline project from data ingestion, transformation and finally analytics with Google Looker Studio

Fetch Data from a simple csv file, send the data in GCP BigQuery table, run dbt to automate the DWH and run SODA to check Data Quality.