Daniel Rosales - Data Engineer | Contra
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Daniel Rosales
Excel & CSV Cleanup | Data Validation & Automation
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Bogota, Colombia
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Bogota, Colombia
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Built in-house at Automated & CO: a repeatable CSV/XLSX cleanup processor with an audit trail. The workflow profiles a supplied file, applies a written rule set, checks the output in a separate verification pass, and packages the cleaned file, change log, exceptions and validation summary. It supports whitespace trimming, explicit value mappings, dates with a known convention, required-field checks and exact-row duplicate removal. Identifiers and leading zeros stay as text; conflicting keys and unknown values are flagged for review. This is our own implementation, not a customer case study. The cover describes the service; it is not a before/after dataset or client-results claim. Complex workbooks, formulas, macros and fuzzy identity merging require a separate scope. For an existing agency export, send column names, row/column count, required changes and deadline through Contra. We confirm eligibility and rules before funding. The published $99 package covers one flat table up to 5,000 rows and 20 columns, with up to five approved cleanup rules. AI tools assist where useful; outputs are checked against the original.
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