Example end to end data engineering project.

MinIO Client SDK for Python

Code for "Efficient Data Processing in Spark" Course

Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3

Sample project to demonstrate data engineering best practices

Minio Backend for Django

Nyc_Taxi_Data_Pipeline - DE Project

Telegram LLM bot backed by OpenAI, Whisper, Beam, LLaMA, Weaviate, MinIO and MongoDB

Unified cloud storage API for storage services.

Asynchronous MinIO Client SDK for Python

A self-contained, ready to run Airflow ELT project. Can be run locally or within codespaces.

Create a streaming data, transfer it to Kafka, modify it with PySpark, take it to ElasticSearch and MinIO

Ansible role for installing and configuring Minio

Full stack data engineering tools and infrastructure set-up

Arquitetura CRM de Baixo Custo com Gen AI, projetada para startups que precisam processar e analisar dados de vendas de forma eficiente.

Template for data pipelines, ML workflows, API dev and monitoring

Creation of a data lakehouse and an ELT pipeline to enable the efficient analysis and use of data

📡 Real-time data pipeline with Kafka, Flink, Iceberg, Trino, MinIO, and Superset. Ideal for learning data systems.

A proof-of-concept FastAPI-based service for sending emails via SMTP. Supports plain text and HTML emails, with or without attachments. Includes validation, error handling and Swagger UI documentation. Ideal for educational purposes and demonstrations.

Set up CI in DL/ cuda/ cudnn/ TensorRT/ onnx2trt/ onnxruntime/ onnxsim/ Pytorch/ Triton-Inference-Server/ Bazel/ Tesseract/ PaddleOCR/ NVIDIA-docker/ minIO/ Supervisord on AGX or PC from scratch.