
Abhijeet developed comprehensive data models for Blackhole DEX trades on Avalanche C-Chain within the Spellbook repository, focusing on end-to-end data coverage for DeFi analytics. He designed and integrated new schemas and seed data using SQL and dbt, ensuring Blackhole DEX activity was accurately captured alongside existing DEX trades. His work emphasized architectural alignment and data quality, enabling more complete and reliable cross-chain analytics for product decisions and risk assessment. By updating the main DEX trades pipeline, Abhijeet improved data completeness without introducing bugs, demonstrating depth in data modeling, schema design, and pipeline integration over the course of the 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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