DTE

Data Transformation
Engine.

Build data pipelines without burning tokens or developer time.

Request access ↵See the flow

Transformation Pipeline in minutes.
No code, no scripts.

0:00
The flow

Any source. Your logic.
Any destination.

Sources
S3
Amazon S3json · csv · parquet
GS
Google Cloudgcs · hmac
AZ
Azure Blobconnection string
PG
Postgrestable · query
MO
MongoDBcollection
RE
REST APIpaginated
FS
Filesystemlocal · glob
···
More on requestbring your own
Your transformation logic
orders_pipeline
01filteramount > 100
02renamecustomer_id → cust_id
03lookupiso → country
04aggregatesum(amount) by cust_id
05joincustomers on cust_id
preview ok1,284 rows
Destinations
PG
Postgresupsert · pk
SQ
SQL databasesvia dlt
S3
Parquet on S3columnar
JS
JSON filejson · jsonl
CS
CSV fileflat
XL
Excelxlsx
API
REST endpointon request
···
More on requestbring your own
STEPS

12 ways to shape your data.

Each step is composable and ordered. Mix and match — the pipeline runs them in sequence on every trigger.

FilterSQL WHERE — GUI builder or raw expression
Renameremap column names in bulk
Retypecast to any DuckDB type
Map · Lookupjoin a saved lookup table
Map · Exprderive a new column in SQL
Sortorder by any field set, asc or desc
Aggregategroup-by with sum · count · avg · min/max
Joininner · left · right · outer
Pivotrows → columns (DuckDB PIVOT)
Select / Dropkeep or strip fields, with aliases
QACheckassert a rule — fail or warn on breach
QAProfilenull % · distinct count · min/max stats

Data Quality?
we got it.

CHK
CheckAssert any SQL rule — fail or warn on breach
PRF
ProfileNull %, distinct count, min/max embedded in the run
PRV
Preview20-row dry run — compile errors surface before data moves
Coming soon

Unstructured data, too.

PDFs, images, audio, and free text — same pipeline model, once it lands.

SOONPDF documentstext extraction
SOONImagesOCR · vision
SOONDocs & free textchunking · embeddings
SOONAudio & videotranscripts
Request access

See DTE on your data. 30 minutes.

Bring one real source. We'll build a pipeline live on the call — map the fields, preview the output, and hand you the API to trigger it from your scheduler. If DTE isn't a fit, we'll tell you before the 30 minutes are up.

  • Bring one messy source and the person who knows what its fields mean.
  • Leave with a working pipeline and the endpoint your orchestrator will call.
  • No sales pitch. Zero slides.
cal.com · bhavaniravi/dte-demo-calllive