Realtime blockchain ingestion, semantic transformation, and analytics infrastructure for multi-chain data.
Retry, failover, multi-provider rotation, websocket support, and reorg-safe ingestion across multiple chains.
eRPC → ETL → Kafka → Flink for high-throughput real-time blockchain event processing.
ClickHouse-powered analytical serving layer for dashboards, BI, and semantic queries.
Built for realtime block, transaction, receipt(log), trace, and semantic decode pipelines.
Data Engineer focused on blockchain data infrastructure, realtime analytics, and scalable analytical systems.
Strong in Kafka, Flink, ClickHouse, Python, Rust, Kubernetes, and Web3 data architecture.
Blockchain-native data infrastructure for realtime ingestion and analytics.
Realtime ingestion pipelines for blocks, logs, traces, and contract events.
Interactive dashboards for token flows, wallets, and protocol analytics.