Real-time ADLs and Fall Detection implement TensorFlow

Activity Assistant provides a platform for logging, evaluating and predicting Activities of Daily Living for Home Assistant.

Datagenerator for Data Services

Contains data preprocessing and visualization methods for ADL datasets.

Fluentd output plugin for Azure Datalake Storage Gen2 (append support)

HDInsight provider for Airflow

Microsoft Azure Data Lake Storage MCP Server

Workshop to build scalable architectures with Azure Data Explorer (ADX)

Upload data onto different cloud storages by HDFS client

Tutorial on setup of online and offline feature stores in Azure Machine Learning (Azure ML), using command line interface (Az CLI)

Kafka Connect ADLS - a Kafka Sink connector for ADLS Gen1

End to end solution for writing USQL data into parquet and setup Presto to query the data

File Source to read data from distributed file system

Terraform module for terraform-azure-adls-gen2

Projeto para Extração de dados de um SQL Server e Carga em um Data Lake Storage Gen2 da Azure (ADLS) usando Airflow Astro CLI e spark para movimentação dos dados entre as camadas tipo medalhão com delta lake.

End-to-end Azure Lakehouse + Operational Analytics demo with IaC (Bicep/ARM), secure data landing (ADLS, Fabric, Synapse), and can’t-mess-it-up automation (Cosmos upserts + DevOps). Scales with skills, satisfies auditors, and proves automation can be boringly reliable (that’s the point). Runs cleanly every time ... even under interview pressure.

This project demonstrates a complete, real-world implementation of a modern data engineering pipeline using the Azure cloud ecosystem. Built around the AdventureWorks dataset, the pipeline follows the Medallion Architecture (Bronze → Silver → Gold), enabling structured data refinement from raw ingestion to business-ready insights.

spark adls read write

Built an end-to-end data pipeline using Azure, Snowflake, and Power BI based on the Medallion Architecture (Bronze–Silver–Gold). Implemented automated ingestion, data cleaning, and business-ready transformations to deliver customer sales insights and churn analysis via interactive dashboards.

An end-to-end ETL pipeline that extracts data from an Azure SQL Server database, transforms the data using Databricks, and loads the transformed dataset into Azure Data Lake Storage (ADLS).