Systems & canvas
Work
Selected examples of turning fragmented technology and data into systems people can understand, trust and use. Confidential details and source values are removed or normalised.
A legacy import process was redesigned around concurrent Python pipelines, clearer operational signals and fast analytical storage.
Outcome: Shorter processing cycles, clearer failure diagnosis and more reliable morning reporting.
Operational reporting combined completion status, error categories and source value so the team could fix the most consequential problems first.
Outcome: Less time spent interpreting logs and clearer prioritisation when several sources failed.