Data pipelines & integration
Data that moves itself, on schedule, without anyone in the loop.
The problem
Business data rarely lives where it’s needed. Sales sit in one platform, operations in another, finance in a third — and the “integration” is usually a person exporting a file from one system and importing it into the next, weekly, by hand. That process is slow, it breaks silently when someone is out, and every manual step is a place errors creep in.
The approach
iTech88 builds pipelines that move that data automatically: connecting to each system where it lives (through its API where one exists), transforming the data into the shape the destination needs, and running the whole path on a schedule. Just as important as moving the data is knowing when it didn’t move: pipelines are built to fail loudly and visibly, not to skip a run in silence and leave a report quietly out of date.
The outcome
Data that is where it should be, when it should be, without anyone having to remember to put it there — and a clear signal on the rare day something upstream changes.
Evidence
The same discipline underlies the automated reporting pipeline described in full under ERP reporting — it’s a data pipeline first, a report second. Other pipeline work has moved data from vendor APIs into a PostgreSQL database, containerized with Docker for repeatable deployment, with intermediate stages backed up to cloud storage.