Data engineering & automation
Data engineering without the data engineering department.
We help companies understand, automate, and operate the data processes their business depends on — from vendor integrations and recurring reporting to reconciliation and production data pipelines.
An unmanaged process, left. A system that operates on its own, right.
Does any of this sound familiar?
Someone manually builds the same report every morning.
Important data moves through emailed spreadsheets.
Two systems disagree and nobody knows which one is right.
A critical integration was written years ago and nobody wants to touch it.
A vendor API fails and nobody notices until the business asks where the data went.
One employee knows the twelve steps required to make the process work.
These are usually process problems first and software problems second.
We understand the process before we automate it.
- 01
Understand
Learn how the process works today.
- 02
Design
Determine what should be automated, changed, or eliminated.
- 03
Build
Implement the integrations, pipelines, checks, and reporting.
- 04
Operate
Monitor the system and keep it reliable as the business changes.
What we do
Six ways we take a data problem off your plate.
Process & Data Flow Discovery
We don't start with a pipeline. We start with the process the pipeline is supposed to support.
Read moreData Pipeline Engineering
Reliable movement of data between the systems your business runs on.
Read moreSystems Integration
Connecting business systems that were never designed to work together.
Read moreReporting & Reconciliation Automation
Make the report happen correctly without someone spending two hours producing it.
Read morePipeline Reliability & Rescue
Already have a pipeline? We'll make it boring.
Read moreManaged Data Operations
We can build it and leave, or build it and operate it.
Read moreFrom manual process to managed system
Before
Every morning, an employee:
- 1.Logs into three vendor systems
- 2.Downloads several files
- 3.Updates a spreadsheet
- 4.Checks totals
- 5.Imports results into another system
- 6.Emails the completed report
After
A managed process:
- 1.Retrieves the source data automatically
- 2.Validates each input
- 3.Transforms the data
- 4.Reconciles expected totals
- 5.Loads the destination system
- 6.Alerts someone only when something is wrong
The employee stops being the pipeline.
Complex data isn't limited to tech companies.
Our experience includes environments where APIs, databases, spreadsheets, vendor portals, scheduled reports, and operational systems all have to work together reliably.
Energy & Renewables
API integrations and scheduled operational workflows across US electricity markets.
Financial Operations
Movement, validation, and delivery of recurring operational and client reporting data.
Industrial & Field Services
Connecting field systems, scheduling, and back-office reporting that were never built to share data.
Business Operations
Turning manual, spreadsheet-driven processes into systems that run on their own.
Vendor & SaaS Integrations
Building and maintaining the connections between internal systems and outside platforms.
Need something simpler?
Simple problem? We have a simpler option.
Not every data problem needs a consulting engagement. SmallDataPipes is our managed service for straightforward recurring pipelines such as API pulls, SFTP transfers, file processing, scheduled exports, and routine data delivery.
Show us the ugly process.
Spreadsheet, legacy script, vendor portal, undocumented API, manual reconciliation — that's fine. Start with the problem as it exists today.
Talk About Your Process