Ein Webservice und eine dazugehörige Android App zum lokalisieren von Sehenswürdigkeiten in Athen.

Open data ingestion system that gets the position of every bus currently working in Rome, their route and next stop. Ran with AWS Lambda and Athena.

A cloud-based ETL testing and data analysis pipeline for YouTube trending video data using AWS services including Lambda, Glue, Athena, S3, and QuickSight. This project focuses on ingesting, transforming, storing, and analyzing structured and semi-structured data to generate insights based on video categories and trending metrics.

Chart.js Binance Crypto Dashboard using Athena data

Fetches Athena Health's OpenAPI specs

Elastic Data Factory

Big data and Cloud Deployment

Modern Data Lake architecture on AWS with S3, Glue, Athena and Terraform IaC

List of helpful scripts for athena

Java REST API project using Spring Boot 3 and MongoDB to orchestrate and execute asynchronous data hydration workflows from Amazon Athena

A serverless data engineering project using Terraform (IaC) to build a cryptocurrency data lake on AWS. Tech stack: AWS Lambda, S3, Glue, Athena, and Python.

End-to-end AWS Data Lake pipeline with Glue, Athena and Step Functions, designed for analytics and ML-ready data.

This portfolio presents a compilation of data engineering projects that highlight the knowledge and use of tools in an optimal way for data flow. The repository demonstrates a commitment to developing robust solutions using diverse technologies, addressing practical challenges in the field.

This project involves creating a real-time stock market data pipeline using Kafka and AWS services.

Beginner-level AWS ETL project analyzing Spotify data using Glue, Athena, and QuickSight.

Library to help track your credentials and database engines

Creates an IAM policy document for use in a data pipeline.

End-to-end AWS data pipeline analyzing 33M+ US flight records (S3 → Glue → Athena → Redshift → QuickSight)

Simple counter build on top of nginx and openresty with lua and redis

Exercícios e desafios que desenvolvi ao longo do bootcamp de ciência de dados da DIO em parceria com a Unimed-BH