Connect the sources
Integrate databases, business applications, files and APIs. Define ownership, access and update frequency.
5 sources · each with a named owner01 / FOUNDATION / DATA ENGINEERING
Give your data
a dependable foundation.
Data pipelines, document processing and integration for teams that need useful, current and traceable data.
↳ click a source to break it
ingest12,408
validate12,194
dedupe12,061
conform12,061
publish12,061
214 rows heldrun #1,482 · 3m 12s
✓
orders_clean✓
customers✓
revenue_daily✓
eventsTHE STARTING POINT
The spreadsheet is doing too much.
Exports arrive late. Records disagree. A reporting job breaks when a source changes. Before adding intelligence, give the underlying information a reliable path through the business.
WHAT WE WORK TOWARDA repeatable flow from source to usable data, with visible failures and a clear owner.
| order_id | customer | total | updated | |
|---|---|---|---|---|
| 2 | 88211 | Harbour Ltd | 412.00 | 14/03 |
| 3 | 88213 | Kestrel & Co | 1,204.00 | 14/03 |
| 4 | 88213 | Kestrel and Co | 1,240.00 | 15/03 |
| 5 | 88214 | Mirefield | '96.50 | 15/03 |
| 6 | 88215 | Oakline | 2,310.00 | 02/02 |
| 7 | 88216 | 58.00 | 15/03 |
pasted by hand · 3 days ago4 problems nobody can see
WHAT THE WORK INCLUDES
SCOPE IS DEFINED TOGETHERPreserve the meaning
Normalize records and parse documents while preserving identifiers, provenance and the context downstream systems need.
source_id · page · row kept on every recordOperate the pipeline
Add validation, monitoring, retry behavior and documented recovery paths. Make it clear when a source is stale.
check failed → held → alert → recovered“[He] also demonstrated great initiative by designing an automated validation system to ensure data consistency between Google and Snowflake migrations.”
WHERE IT FITS
Recognize the problem?
Fragmented reporting
Bring operational records into a consistent model for analysis and downstream applications.
Document ingestion
Turn collections of reports, manuals or records into structured, traceable inputs.
AI data foundations
Prepare source data and access metadata for a retrieval or workflow application.
Can you work with our existing stack?+
Yes. The starting point is your current sources, infrastructure and operational constraints. A new tool needs to justify its place in the system.
What happens when a source changes?+
We define schema and quality checks, failure alerts and recovery behavior as part of the pipeline. The exact implementation depends on the source and its update guarantees.
Do we need to replace our warehouse?+
Not necessarily. The work may be an integration or reliability improvement around what you already use. Discovery establishes what actually needs to change.