Bio DevOps developer — cloud infrastructure for genomics & biotech
I turn messy scientific data operations into cloud infrastructure that doesn't fail quietly.
I build event-driven AWS infrastructure, using CDK, Lambda, SNS, SQS, S3, and DynamoDB, for high-throughput data pipelines that hold up under real scientific data shapes: multi-terabyte genomic datasets, irregular batch loads, and LIMS integrations that generic architects rarely encounter.
- 2–5 min → secondsper sample, now processed in parallel
- ~1 minmanual work left per sample, down from the whole workflow
- Errors caughtthe automation flagged failures the manual process missed
If you're a CTO or VP of Engineering at a genomics or biotech company hiring for cloud infrastructure, here's the short version: I can own your data platform without needing someone to translate the science for me.
Get in touch
If you're hiring for cloud infrastructure, or you have a data pipeline held together with manual steps, tell me what's going on. I read every message and reply myself.
Prefer email? pedroaserio@gmail.com