Data Recovery Workflow — Case Study | Romeo Thomas

Data Recovery Workflow

Imaging-first, non-destructive data recovery process with encryption and forensic traceability.

Data Recovery Workflow cover

Problem

Traditional data recovery workflows expose drives to overwriting risks, inconsistent documentation, and unverified results. The lack of standardization made it difficult to ensure repeatability, security, and audit compliance when recovering sensitive data from failing or corrupted storage devices.

Approach

We engineered an imaging-first pipeline that never writes directly to the original media. The workflow integrates hardware-level imaging tools with checksum verification, automatic log capture, and encrypted staging storage. All recovery actions are versioned and mapped against device serials for traceability.

Automation scripts built in Python and Bash handle drive detection, cloning, and hash validation. The result is a reproducible forensic workflow that can be deployed in both standalone and networked environments.

Results

✓ 100+ drives recovered across diverse file systems (NTFS, EXT4, APFS)

✓ 0% data overwrites thanks to write-blocked imaging mode

✓ 100% forensic traceability with automated hash verification and recovery logs

Stack & Tools

Python Bash Plotly Power BI Autopsy FTK Imager Linux