At Invesdor AG (fmly. Kapilendo AG), I owned a regulated fintech data platform end to end, from ingestion and warehouse modelling to reconciliation, alerting, and reporting. I maintained 388 dbt models across 11 sources and absorbed two acquired companies’ warehouses without disrupting reporting.
I built containerised Python ingestion for seven API sources and developed reconciliation and anomaly detection for investment clearing. I also defined governed metrics for ESMA reporting duties and applied privacy-by-design by making the warehouse the sole channel between stakeholders and production PII.
As a freelance Data Engineer, I built data platforms for mobile app measurement, private equity target sourcing, and restaurant reporting. On a project called IndieRunners, I developed an LLM pipeline to standardise running event information from independent websites.
