
Developed comprehensive data models and pipeline integration to capture Blackhole DEX trades on Avalanche C-Chain within the Spellbook repository, expanding coverage alongside existing decentralized exchange data. Focused on architectural alignment and data quality, the work involved designing schemas, provisioning seed data, and integrating new models into the main DEX trades pipeline using SQL, YAML, and dbt. This addition enabled more complete and accurate cross-chain DeFi analytics, supporting improved product decisions and risk assessment. No bug fixes were recorded during this period, as efforts centered on feature delivery and enhancing analytics readiness for Avalanche-based DEX activity within the Spellbook project.
July 2025 focused on delivering end-to-end data coverage for Blackhole DEX trades on Avalanche C-Chain within the Spellbook project. Key feature delivery includes new data models and pipeline integration to capture Blackhole DEX activity alongside existing DEX trades, improving data completeness and analytics capability. No major bug fixes were recorded this month; the emphasis was on architectural alignment and data quality. This work enhances business value by enabling accurate cross-chain DeFi analytics, supporting product decisions, risk assessment, and monetization opportunities. Technologies demonstrated include data modeling, schema design, seed data provisioning, and data pipeline integration in the Spellbook repository.
July 2025 focused on delivering end-to-end data coverage for Blackhole DEX trades on Avalanche C-Chain within the Spellbook project. Key feature delivery includes new data models and pipeline integration to capture Blackhole DEX activity alongside existing DEX trades, improving data completeness and analytics capability. No major bug fixes were recorded this month; the emphasis was on architectural alignment and data quality. This work enhances business value by enabling accurate cross-chain DeFi analytics, supporting product decisions, risk assessment, and monetization opportunities. Technologies demonstrated include data modeling, schema design, seed data provisioning, and data pipeline integration in the Spellbook repository.

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