Python Developer for Data Automation and Validation
Budget: $10 – $30 USD
I'm looking for a skilled Python developer to handle data automation and validation tasks. The specific responsibilities for this project include:
Description:
We are looking for an experienced Python developer to create an automated system for validating and reporting activation data. The system will process daily data from multiple sources, compare it against a master list, and flag any issues. The results will be saved in detailed and summary Excel reports.
Responsibilities:
Develop a Python script to read and process Excel files.
Validate and flag serial numbers based on predefined criteria.
Generate and save detailed and summary reports in Excel format.
Set up daily automation using cron jobs or Windows Task Scheduler.
Requirements:
Proficiency in Python programming.
Experience with pandas for data manipulation.
Familiarity with Excel file operations (openpyxl).
Knowledge of scheduling tasks (cron jobs or Task Scheduler).
Preferred Qualifications:
Experience with data validation and reporting.
Ability to troubleshoot and handle data inconsistencies.
Strong attention to detail and problem-solving skills.
Description:
We are looking for an experienced Python developer to create an automated system for validating and reporting activation data. The system will process daily data from multiple sources, compare it against a master list, and flag any issues. The results will be saved in detailed and summary Excel reports.
Responsibilities:
Develop a Python script to read and process Excel files.
Validate and flag serial numbers based on predefined criteria.
Generate and save detailed and summary reports in Excel format.
Set up daily automation using cron jobs or Windows Task Scheduler.
Requirements:
Proficiency in Python programming.
Experience with pandas for data manipulation.
Familiarity with Excel file operations (openpyxl).
Knowledge of scheduling tasks (cron jobs or Task Scheduler).
Preferred Qualifications:
Experience with data validation and reporting.
Ability to troubleshoot and handle data inconsistencies.
Strong attention to detail and problem-solving skills.