Scheduled jobs and queues
Work that happens on time whether or not anyone remembers it, with retries that do not duplicate the result.
Automation of routine work
If a person repeats it weekly, it is a process waiting to be written down. We turn manual routines into scheduled jobs, queues and pipelines.
What we build
Data collection and enrichment
Public sources, APIs, internal systems — gathered, cleaned and joined into something you can act on.
Reconciliation
Two systems that should agree and do not. Finding the difference nightly beats finding it at year end.
Report generation and delivery
The weekly numbers assembled and sent, in the format the recipient already reads, without a person in the loop.
The part that is actually hard
Idempotency. A job that runs twice must not act twice. Networks time out mid-write, workers die holding a task, a queue redelivers a message it already handed out — all normal, all guaranteed to happen. The design question is never whether a step repeats; it is whether repeating it is harmless. Unique constraints, atomic claims and single-writer locks are what make that true, and they are cheaper to put in first.
What you get
- Pipelines that survive a restart mid-run
- Alerting when a job fails, not silence
- A record of what ran, when, and what it changed
- Manual controls: pause, replay, re-run one item
Stack Python · Celery · Redis · PostgreSQL · Playwright · Docker
Start here
Describe it in a paragraph.
You will get a real answer from an engineer — what we would build, roughly what it costs, and honestly whether it is worth building at all.