Skip to content
#

adls-gen2

Here are 12 public repositories matching this topic...

End-to-end Azure data engineering pipeline ingesting real-time earthquake data from the USGS API. Implements a Bronze–Silver–Gold lakehouse using Azure Data Factory, Databricks, ADLS Gen2, and Synapse Analytics, with both manual execution and fully automated daily-triggered workflows.

  • Updated Dec 22, 2025
  • Jupyter Notebook
GitOps-and-ADLS-ingestion-into-Bronze-Pipelines

GitOps-driven Azure Data Factory pipeline that ingests multi-source data (GitHub + ADLS) into ADLS Bronze using dynamic, parameterized ETL workflows.

  • Updated Nov 19, 2025

Real-time streaming data pipeline using Apache Kafka, Spark Structured Streaming, and Delta Lake on Azure. Secure SSL Kafka integration, ADLS storage with OAuth2, and ML-driven anomaly detection with automated email alerts. Modular, scalable, and configurable for IoT and log analytics pipelines.

  • Updated Nov 15, 2025
  • Python

End-to-end data engineering pipeline implementing Medallion Architecture (Bronze-Silver-Gold) for trip transaction analytics. Automated ETL using Azure Data Factory, Databricks, and Delta Lake with real-time monitoring and email notifications via Logic Apps.

  • Updated Nov 6, 2025
  • Jupyter Notebook

🚀 Build an automated data pipeline with Azure Data Factory and Databricks to efficiently process and analyze trip transaction data using Medallion Architecture.

  • Updated Jan 5, 2026
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the adls-gen2 topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the adls-gen2 topic, visit your repo's landing page and select "manage topics."

Learn more