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KSA
Employees Salary Data Encryption
Challenge: Securing sensitive employee salary data extracted from SAP SuccessFactors while ensuring the data remains accessible for reporting purposes.
Solution:
- Data Extraction: Utilized an API to extract salary data from SAP SuccessFactors.
- Data Encryption: Employed Python cryptography libraries to encrypt the sensitive salary data before storage.
- Data Loading: Loaded the encrypted data into Amazon Redshift, ensuring compliance with data security protocols.
- Decryption Logic: Developed a secure decryption mechanism in Power BI using a dedicated decryption key to provide controlled access to the data for reporting purposes.
- Key Management: Automated the sharing of the decryption key via email daily, ensuring secure access without exposing the key within the Matillion environment.
Impact: This solution enhanced data security, reduced the risk of data breaches, and provided a seamless reporting experience for users accessing sensitive salary data.
GA4 API Integration
Challenge: Integrating Google Analytics 4 (GA4) data for analytics and reporting while ensuring field compatibility and performance.
Solution:
- ETL Development: Designed and implemented ETL logic in Alteryx to extract data from the GA4 API.
- Streamlined Processes: Created Alteryx macros and analytical apps to simplify and automate data processing tasks.
- Data Validation: Defined key performance indicators (KPIs) and ensured compatibility across API fields.
- Data Loading: Leveraged the AWS COPY command to efficiently load the processed data into Redshift.
- Error Resolution: Identified and resolved errors during the data loading process to ensure a seamless pipeline.
Impact: The integration provided reliable access to GA4 data, enhanced decision-making through improved KPIs, and streamlined ETL workflows for greater efficiency.
Email Automation
Challenge: Automating the processing of data received via email to eliminate manual intervention and ensure timely updates.
Solution:
- Data Processing: Utilized Alteryx’s email components to automatically read email attachments.
- Data Loading: Automated the loading of processed data into Redshift, ensuring timely availability for reporting and analysis.
Impact: This solution eliminated manual data handling, improved accuracy, and significantly reduced processing time, enhancing operational efficiency.
MongoDB Server Automation
Challenge: Maintaining high availability and preventing downtime in the event of primary MongoDB server outages.
Solution:
- Secondary Server Logic: Implemented automation in Matillion to switch data sources to a replica MongoDB server during outages.
- Seamless Execution: Ensured uninterrupted execution of data workflows by providing a reliable failover mechanism.
Impact: The solution ensured high availability, reduced downtime, and maintained seamless data processing during primary server outages, enhancing system reliability.
Conclusion
The case study showcases a comprehensive approach to addressing critical challenges in data security, automation, and high availability. By employing advanced tools such as Python, Alteryx, Matillion, and Power BI, alongside robust processes for encryption, API integration, and automation, these solutions deliver secure, efficient, and reliable data management and reporting capabilities.