Blockchains today come in various shapes and forms and continue to grow considerably in size. This poses significant challenges for data processing, not only because of structural differences in layer 1 data representations but also due to the unique attributes and layer 2 functionalities of different systems. This paper proposes a generic, blockchain-agnostic mechanism for representing both layer 1 and layer 2 data while preserving their structural attributes. The proposed approach is designed for heterogeneous architectures and aims to enable efficient, large-scale analysis of blockchain data using massive parallelism.