This dbt package captures metadata, artifacts, and test results so you can detect anomalies, monitor data quality, and build metadata tables. It powers Elementary OSS and feeds the wider context layer used by Elementary Cloud’s full Data & AI Control Plane.

Easiest way to monitor asynchronous data pipelines

Logging for pandas

DataBridge Quality Control

Building a next-generation hybrid data pipeline architecture that combines the power of Microsoft Fabric, Azure Cloud, and Power BI. This pipeline is engineered to tackle the challenges of real-time data ingestion, multi-layered processing, and analytics, delivering business-critical insights.

This Project demonstrates the Technology shift in Automobile Firm to resolve the data engineering challenge of manual data ops. AWS Cloud Services implemented here as: S3 bucket for lake storage incoming batches, Lambda Python Script for automating the validation function call and Glue Crawler to generate relational table with successful testing.

Every thing about designing installing and implementing data pipelines to include kafka zookeeper hadoop If you enjoy my content please consider supporting what I do Thank you.

The OpenWeatherMap Data Pipeline Engineering Project collects real-time weather data from multiple cities, processes it through a robust ETL pipeline, and generates insightful visualizations to reveal patterns and trends in temperature, humidity, and wind conditions