Srilakshmi S

• Monitor Tidal Jobs Automation: Regularly monitor Tidal jobs to ensure they run smoothly.
  Identify and check for any breaks or failures in the automation processes.
  Debug and resolve issues promptly to minimize downtime and ensure continuity of operations.
  
• Issue Response and Debugging: Act as the first point of contact for users/clients reporting issues.
  Respond promptly to user/client inquiries and concerns.
  Diagnose and debug issues in real-time, providing immediate solutions to restore service.
  
• Live Production Issue Resolution: Communicate effectively with various users and stakeholders to understand the nature of the production issues.
  Coordinate with different teams to ensure comprehensive issue resolution.
  Implement fixes and workarounds to address live production issues swiftly.
  
• Data Change Releases: Create and manage data change releases to update or correct data as required.
  Ensure all data changes are thoroughly tested and validated before deployment to production.
  
• SQL Scripting for Issue Resolution: Develop SQL scripts to fix issues within the database.
  Perform data corrections and updates using SQL scripts to maintain data integrity and consistency.
  
• Support Daily Close and Start of Day Activities: Provide support for daily close processes, ensuring all tasks are completed accurately and on time.
  Assist in start-of-day activities to prepare systems and applications for daily operations.
  
• Monthly and Quarterly Close Support: Support monthly and quarterly close processes, ensuring all financial and operational data is accurately processed and reported.
  Coordinate with finance and other departments to ensure all close activities are completed without issues.
  

During internship in Android application development, gained hands-on experience in designing, coding, testing, and deploying mobile applications. Utilized Android Studio and Java/Kotlin to create user-friendly interfaces and implement core functionalities. Worked on integrating APIs, managing data storage with SQLite, and ensuring app performance and responsiveness. Collaborated with team members to troubleshoot issues and optimize application performance, delivering robust and efficient solutions.

During internship, gained practical experience in Descriptive Analytics, Batch Processing, Distributed File Systems, and Cassandra. Analyzed data to generate meaningful insights using descriptive analytics techniques. Implemented batch processing workflows to handle large datasets efficiently. Worked with distributed file systems to manage and store vast amounts of data. Utilized Cassandra for distributed database management, ensuring high availability and scalability. Collaborated with team members to optimize data processing and storage solutions.