Viewing profile — brady_bastian

Parsing FHIR data and converting that to OMOP standard is a notoriously difficult problem. I think we've cracked it. I've open sourced two GitHub repos: 1. Forge-Core. This is the …

how does this compare to something like google secrets manager?

the price of shitty software is

Automatically decompose nested JSON in your data warehouse into normalized dbt models. Forge Core is a deterministic BFS engine that reads a single JSON column (or multi-column tab…

Avalon Synthetic clinical data pipeline — generate realistic FHIR R4 patient data, normalize it through Forge, and query it as OMOP CDM 5.4 views. What is Avalon? Avalon is an end-…

We generated ~1,100 synthetic patients with Synthea, processed the FHIR R4 output through our normalization engine (Forge), and published it as a free public dataset on BigQuery An…

https://forge.foxtrotcommunications.net/ I've been a data engineer for years and one thing drove me crazy: every time we integrated a new API, someone had to manually write SQL to …

Completely automating the difficult problem of json parsing and normalization in cloud data warehouses. https://forge.foxtrotcommunications.net/ Today engineers spend dozens of hou…

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I've built a product that completely parses highly nested JSON data in cloud data warehouses. Forge works by methodically dissecting each subcollection and each field of Json data,…

Hi HN, I’m Brady. I’ve spent years watching data engineers burn out writing brittle parsers for nested JSON, only to have dashboards crash because an upstream API changed a field n…