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decentralized data systems and fintech analytics
integrates web3 + fintech data engineering: blazpay (p2p payments) and bks mygold (tokenized gold assets).
core themes
- on-chain + off-chain data integration
- event-driven architecture with kafka
- lakehouse analytics over blockchain events
- reconciliation, auditability, observability
- distributed consistency and fault tolerance
- smart contracts monitoring and event triggers
explanation practice
- transaction flow: wallet → blockchain → kafka → warehouse → dashboard
- ledger reconciliation workflow
- hybrid analytics pipeline
- fault tolerance diagram for distributed ledgers
projects
1. blazpay transaction analytics
- hyperledger / kafka / spark / postgres / grafana
- real-time payment tracking and aggregation
2. bks mygold tokenized asset pipeline
- solidity / kafka / spark / iceberg / grafana
- track tokenized gold transactions and vault reconciliation
3. vault reconciliation system
- ledger vs physical vault, alerting, monitoring
4. transaction intelligence
- anomaly detection on trade/payment streams
5. accounting microservice
- double-entry system, idempotent writes, kafka replay
6. rwa data lakehouse
- unified analytics platform for multiple asset types
7. oracle connector
- price feeds and audit event integration