Use case

A lightweight local ETL tool for file cleanup.

Sometimes you do not need Airflow, dbt, a warehouse or a cloud ETL platform. You just need to turn a bad file into a good file, locally and repeatably.

Typical cases

• Small ETL jobs that do not justify infrastructure
• Consulting work with customer exports
• Repeated monthly cleanup tasks

Example SQL

with clean as (
  select
    trim(customer_name) as customer_name,
    try_cast(order_date as date) as order_date,
    try_cast(amount as decimal(18,2)) as amount
  from imported_file
)
select * from clean where amount is not null;

How Bendit helps

1. Import the file directly into the local workbench.
2. Inspect columns, types and preview rows.
3. Transform with DuckDB SQL.
4. Export a clean CSV or Parquet result.