You are given an existing Python codebase (~200 lines shown) that defines an abstract base class DataProcessor with abstract methods load(self), transform(self, record), and save(self, records); a registry/factory that instantiates processors by name; and a CLI that wires them together. Without editing the abstractions, implement a concrete CsvToJsonProcessor that:
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reads CSV files in chunks;
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transforms each row to a normalized JSON object;
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writes line-delimited JSON to an output path;
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handles bad rows with a retry/logging policy; and
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integrates with the registry so the CLI can invoke it by the name 'csv_to_json'. Provide the class implementation outline and explain the control flow through the existing template methods.