I am a Data Engineer specializing in blockchain and on-chain financial data. I build production-oriented data pipelines that transform raw blockchain events into reliable, analytics-ready datasets and interactive dashboards.
I work with Python, SQL, PySpark, Apache Airflow, dbt, PostgreSQL, AWS, and GCP. My experience includes data extraction, transformation, cleaning, modeling, and pipeline design for financial and protocol reporting.
I have designed end-to-end pipelines for decentralized finance products, including DEX swaps, token transactions, lending protocols, and other DeFi instruments. I focus on improving data reliability, reducing manual reporting effort, and creating unified data models across protocols.
I have hands-on experience decoding Ethereum event logs and normalizing data from protocols such as Aave, Compound, and Morpho. I build extensible architectures that support onboarding additional EVM-based protocols and money markets.
I also develop analytics dashboards and forensic data tools for blockchain activity. My projects cover Ethereum network analysis, cross-chain DeFi analytics, ETL and ELT comparisons, and tracing asset movements after on-chain exploits.
