I’ve worked primarily with public blockchain datasets available through BigQuery and analytics APIs. Most of my work has involved exploring Ethereum and Bitcoin transaction-level data, building transformations, and analyzing patterns such as wallet behaviors, gas usage, mempool trends, and smart contract interactions.
I’ve also worked with scraped on-chain data while building analytical pipelines—cleaning event logs, normalizing transaction traces, joining address-level metadata, and creating models for user behavior. My experience applying SQL, Python, and large-scale data modeling translates very well to Dune’s curated datasets, even though I haven’t yet worked directly on production blockchain indexing pipelines.