Analytics Engineer on the trading product at Nansen. I own the instrumentation and tracking behind it: measuring how the product performs, spotting gaps and opportunities to improve, and turning that into the intelligence that drives product and business decisions.
Quantitative-finance rigor meets a crypto-native toolkit. Previously on-chain analytics at the Algorand Foundation and quantitative risk modeling at Banco Sabadell. MSc in Blockchain Technologies (UPC), with a foundation in computational mathematics.
- End-to-end product instrumentation: defining the events and metrics that show how the product is really used, and where it can improve
- dbt at the core of data modeling, with pipelines that keep the warehouse queryable and trustworthy
- AI-native by default, leveraging agents to boost productivity across the stack
- Dashboards and tooling that put insight in front of non-technical stakeholders
Python · SQL · TypeScript · dbt · Snowflake · BigQuery · Dune · on-chain data
