FactGear: Data Engineering Toolkit
Modern tools and resources for data engineers, analysts, and developers
Data Engineering Tools
Cron Expression Builder
Build and test cron schedules visually for data pipelines, ETL jobs, and automated tasks with next run predictions.
CSV/JSON Converter
Convert between CSV and JSON formats with schema inference, validation, and download support.
Airflow DAG Generator
Generate production-ready Apache Airflow DAG templates for ETL, data pipelines, and orchestration workflows.
dbt Model Generator
Create dbt model templates with best practices: staging, intermediate, mart models, and automated tests.
Data Size Calculator
Estimate storage costs for Snowflake, BigQuery, Redshift, and other data warehouses with growth projections.
Data Type Converter
Convert data types between PostgreSQL, MySQL, BigQuery, Snowflake, Redshift, and other databases.
Utility Tools
Regex Tester
Test and debug regular expressions for data transformation with real-time matching and groups extraction.
SQL Formatter
Beautify and organize SQL queries with powerful formatting. Improve readability and maintain consistency.
JSON Formatter
Format and beautify JSON data. Validate structure, improve readability, and download formatted results.
JSON Schema Generator
Generate JSON schemas from sample data. Validate structure and streamline development.
Company Name Cleanser
Standardize and clean company names in datasets. Remove suffixes, normalize formats.
Invisible Chars Detector
Detect and manage hidden characters in text data. Ensure data integrity and quality.
World Clock
Compare times across multiple time zones. Perfect for distributed teams and global data operations.
Favorite Links Manager
Manage and organize frequently used URLs. Search, filter, and access resources quickly.
Learning Resources
Data Engineering Best Practices
Comprehensive guide: pipeline design, ETL vs ELT, data quality, schema design, and orchestration.
CI/CD for Data Pipelines
Automate testing and deployment for dbt, Airflow, and data quality with GitOps workflows.
AI/ML for Data Engineering
Integrate LLMs, RAG, vector databases, and ML models into your data workflows.
All Resources
Curated guides, tutorials, code snippets, and community resources for data professionals.