The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

re_data - fix data issues before your users & CEO would discover them 😊

Metrics Observability & Troubleshooting

A lightweight Python-based tool for extracting and analyzing column lineage for dbt projects

Code for DE101 book at https://de101.startdataengineering.com/

dbt tutorial using a local PostgreSQL database

Integrating Apache Airflow, dbt, Great Expectations and Apache Superset to develop a modern open source data stack.

A data warehousing application on NYC Food Inspection

In this project, dbt, Great Expectations, Python and Pandas were used to transform and validate the "Inside Airbnb" dataset. The tools ensure quality data, ready for analysis.

Solo-built a senior-level analytics platform in 5 weeks: 471 messy government files → 320+ tested dbt models → 18 marts with 100+ CFO & equity KPIs → public BigQuery + 3 boardroom-ready Power BI dashboards. From zero knowledge to production-grade warehouse in 4 months — core build done in 5 weeks

dbt native framework built to observe modern data stack

Data engineering monorepo with Airflow, dbt and postgres

This is a quick guide on how to get started and create your data models using dbt (data build tool). dbt is a Python-based packaged for managing Transformations in the ELT (Extract, Load, Transform) lifecyle.

## About This repository represents structured academic and practical work completed as part of the **Post Graduate Diploma in Advanced Computing (PG-DAC)** program. It consolidates hands-on implementations, assignments, lab exercises, and mini-projects mapped directly to the program curriculum and industry expectations.

This repo provides a POC to demostrate how a portable data stack can provide an end-to-end ETL process with simple BI. It's calling PiwikPRO API for a demo account and using GCP service account to interact with Google Sheets.

Complete End to End pipeline for analysis on airbnb dataset

Node.js Asana dbt elt Pipeline

Production-grade analytics stack for CRM sales opportunities, built on Snowflake with dbt, Elementary, Dagster, and GitHub Actions.

It is a with All the Required Resources Of CDAC ACTS HYDERABAD FEB-2025 Batch

Evaluating Naive Baselines and Simple Seasonal Models for Cloud Capacity Planning. A reproducible analytics engineering project using dbt, DuckDB, and Python to aggregate global VM demand and benchmark rolling-average heuristics against interpretable seasonal time series models using Snowflake’s Shaved Ice dataset for ICPE 2026.