For a hands-on learning experience to develop Agentic AI applications, join our Agentic AI Bootcamp today. Early Bird Discount
Register
data science dojo logo
Microsoft Solutions Partner | Data Science Dojo

ETL Flow Builder

Business analysts spend hours manually coding complex data transformations, leading to errors, high costs, and limited pipeline reusability. ETL Flow Builder lets users visually or programmatically create, preview, and export reusable data pipelines in minutes, eliminating coding, reducing errors, and saving costs.

  • Workflow Automation: Automate complex data transformations in minutes, reducing manual coding and development time.
  • Pipeline Flexibility: Build pipelines visually or configure them as JSON code for easy reuse and copy-pasting.
  • Cost savings: Remove ETL tool costs and reduce reliance on specialized engineers.
  • Quality Validation: Preview step-by-step outputs with row/column counts to ensure data accuracy.
  • Config Export: Export pipeline configurations as JSON for version control and audits.

Upload your data file (CSV, JSON, or Excel), then build your transformation pipeline by adding steps from five powerful transformation types: SELECT to choose specific columns, FILTER to narrow down rows based on conditions, DERIVE to create calculated fields, AGGREGATE to summarize data, and CONDITIONAL SPLIT to route data based on logic. Preview the output after each step to validate your transformations, then execute the complete pipeline and export results in your preferred format (CSV, Excel, Parquet, or JSON).
Example Use Cases:

  • [Healthcare/Patient Data Processing]: Filter patient records by diagnosis codes, derive age from birthdate, aggregate visit counts by department, and split records into insured vs. uninsured groups for reporting
  • [Finance/Transaction Analysis]: Select relevant transaction fields, filter by date ranges and amounts, derive profit margins and tax calculations, aggregate by merchant categories for quarterly reports
  • [Retail/Inventory Management]: Transform raw inventory feeds by selecting active SKUs, filtering low-stock items, deriving reorder quantities based on sales velocity, and splitting by warehouse location
  • [Manufacturing/Quality Control]: Process sensor data by filtering defect thresholds, deriving quality scores from multiple measurements, aggregating by production line and shift for daily dashboards

The ETL Flow Builder empowers business users across healthcare, finance, retail, and manufacturing to transform data without writing code, making data preparation accessible to analysts who understand their business requirements best.

Q: What file formats does the ETL Flow Builder accept for input and output?
A: The tool accepts CSV, JSON, and Excel files as input. For output, you can export your transformed data in CSV, Excel, Parquet, or JSON formats. Additionally, you can export your entire pipeline configuration as a JSON file for documentation, sharing, or version control purposes.
Q: What types of transformations can I perform with this tool?
A: The ETL Flow Builder supports five core transformation types: SELECT (choose specific columns), FILTER (apply conditions to rows), DERIVE (create calculated fields using formulas), AGGREGATE (summarize data with grouping and calculations), and CONDITIONAL SPLIT (route data to different paths based on logic). You can combine these in any sequence to create complex data pipelines.
Q: Can I reuse or modify pipelines I’ve already built?
A: Yes, you can export your pipeline configuration as a JSON file, which captures all transformation steps and parameters. This allows you to document your work and share pipelines with colleagues.