Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.

Run greatexpectations.io on ANY SQL Engine using REST API. Supported by FastAPI, Pydantic and SQLAlchemy as best data quality tool

🦆 Blazing Fast and highly customizable Github Action to setup a DuckDb runtime

SQL based data profiling & data quality checks, which will help you to perform data profiling & data quality checks on SQL database at table & database level.

A lightweight simple data quality testing tool.

DataBridge Quality Control

FinAUDIT is an AI-powered financial data health and compliance system that automatically audits datasets against global regulatory standards (GDPR, Visa CEDP, AML, PCI DSS, and Basel). It combines a deterministic 30-rule engine for rigorous data quality scoring with a Generative AI Analyst (Gemini) to provide natural-language answer.

dbt Datasphere Plugin is for integrating multiple open-source data quality frameworks into your dbt projects. It unifies Soda SQL, Great Expectations, Datafold, providing a single interface to configure and run data quality checks.

This project involves a comprehensive analysis to determine the top YouTubers in the UK for 2024, Using Excel, SQL and Power BI.

End-to-end data analytics project analyzing Amazon sales data using SQL and Power BI to uncover revenue drivers, seasonal trends, regional demand patterns, and discount-driven sales behavior through exploratory data analysis and interactive dashboards.

This repository contains a complete data lakehouse implementation using Docker. It showcases an end-to-end data pipeline with Apache Spark for ETL, MinIO and Delta Lake for storage, Airflow for orchestration, DQOps for data quality, and Superset for BI.

一站式解决测试数据痛点：从高质量模拟数据生成到严格的数据质量校验。

A fully‑modelled, Snowflake‑backed analytics pipeline for operational appointment intelligence across CareGrid clinics. This project builds a trustworthy, chain‑resolved no‑show metric, a canonical status model, and a data‑quality governance layer that surfaces scheduling inconsistencies instead of hiding them.

An Apache Airflow data pipeline is designed to perform ELT operations, utilizing Amazon S3 and Amazon Redshift Serverless.

A personal project using an NLP Model to create graphical plots based on user inputted file and instructions (consisting of choice of columns to be used for the graphical plots) . Additionally, this tool also does data quality check of uploaded data file along with sentiment analysis of user-inputted text.

This project aims to import data from different sources in python and extracting insights about data quality using PANDAS library. Three different data sources are used in this dataset.

Data Governance Cockpit based on Great Expectations Engine

This project extracts and cleans raw YouTube data from excel-csv (Kaggle) through SQL and identifies the top-performing UK-based Influencers. Data Stack: Excel | Microsoft SQL Server | Power BI

KPMG Data Analytics Consulting Virtual Internship

Ejemplo Clases. Dataform example. SQL. Assertions. Data Quality