Roadside Emergency Services

Industry:Transportation services

Technologies:Amazon S3, AWS Glue, Python, PHP, MySQL, Microsoft Excel

Stakeholders:CEO, COO, CRO

Solutions provided:Data security, Python scripts for automation and data quality.

Scanning and cleaning each data file manually is very time consuming.
Manually uploading the new data into database is affecting production system performance and agent response times.
Data import process is sensitive to data formats, resulting in repeating the process even for minor errors.
Several business rules need to be followed while updating the database, making manual updates very inefficient.

Integrated data from various sources such as ftp sites, emails, and MySQL databases.
Automated cleanup and transformation of data according to business rules.
Implemented robust data quality rules to validate and ensure accuracy of the cleaned data.
Stored data in a well-architected data warehouse with Amazon S3.
Implemented robust security measures adhering to industry best practices to safeguard the confidentiality and integrity of the company’s data.