Automation scripts | 2025-2026
Data Processing Pipelines
A collection of data processing scripts for extracting, transforming, filtering, and handling large datasets efficiently.
Project snapshot
- Type
- Automation scripts
- Period
- 2025-2026
- Source
- Public GitHub repository
Problem
Large datasets can be slow or impractical to process manually. This project focuses on efficient command-line and Python-based data processing workflows.
Outcomes
Processed structured files with lightweight command-line workflows
Avoided loading large datasets fully into memory where possible
What I built
Python scripts for data extraction and transformation
Filtering logic for structured and semi-structured data
Unix command-line pipelines
Stream processing techniques for large files
Text processing with grep, awk, and sort
Efficient file handling without loading everything manually
Tech stack
PythonBashUnix Toolsgrepawksort
View the source code
The repository includes the code, structure, and implementation details for this project.