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Case study / Workflow automation
Python Business Automation
Automation workflows for recurring reports, campaign processing, scheduled communication, file operations and database maintenance.
Software Engineer · Python Automation
Conceptual project visual01 / Overview
Business context
Recurring operational work required consistent processing and scheduled delivery. The goal was to reduce repetitive manual effort while making workflows easier to monitor, maintain and support.
02 / Workflow analysis
Workflow analysis
- Mapped repeatable business tasks and their inputs, outputs and schedules.
- Structured recurring processing steps around project-specific requirements.
- Used logs and error handling to support recurring operational jobs.
03 / Data & reporting
Data and reporting
- Processed campaign and operational data from databases and files.
- Generated Excel, CSV and PDF outputs.
- Prepared scheduled reports for business teams.
04 / Scheduling & delivery
Scheduling and delivery
- Scheduled recurring jobs with Linux cron.
- Automated email delivery and file movement.
- Maintained recurring database-cleanup workflows.
05 / Production support
Production support
- Ran automation on Linux and AWS environments.
- Investigated failures using logs and job output.
- Adjusted workflows as operational requirements changed.
06 / Outcomes
Outcome and impact
Reduced repetitive manual work.
Improved consistency of scheduled operations.
Made recurring processes easier to maintain and support.
07 / Technology
Tools and delivery formats
Core tools
- Python
- SQL
- Linux
- cron
- AWS
Outputs and delivery
- Excel
- CSV
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