Sriharika Bachina

● Safeguard and enhance the performance of Mastercard's cloud infrastructure and applications, addressing network and production issues across Mastercard's global network to ensure the reliability and availability of critical services and systems.
● Leverage expertise in AWS security and cloud administration to maintain a secure and efficient cloud environment.
● Proficient in comprehensive monitoring and analysis using Splunk, creating custom dashboards and alerts for real-time monitoring, and analyzing logs to detect and investigate security incidents.
● Identify and resolve issues promptly, ensuring continuous and optimal operation of network and cloud systems.
● Proficient in comprehensive monitoring and analysis using Splunk, including creating custom dashboards and alerts for real-time monitoring.
Identified and resolved issues promptly, ensuring the continuous and optimal operation of network and cloud systems.
● Analyzed logs to detect and investigate security incidents, enhancing the overall security posture.
Expertise in performance monitoring and management with Dynatrace, gaining deep insights into application performance and user experience.
● Configured and managed Dynatrace for end-to-end application visibility and conducted root cause analysis to improve system performance.
● Skilled in managing and troubleshooting IT infrastructure, ensuring optimal operation and minimal downtime by implementing best practices for IT operations and service management, and performing routine maintenance and updates to maintain system health.
● Proficient in managing and troubleshooting Linux-based systems using RHEL (Red Hat Enterprise Linux), with experience in system administration and automation, implementing security measures and compliance standards, and optimizing system performance and resource utilization.
Utilized JMeter for performance testing, ensuring applications and services can handle peak loads efficiently by designing and executing load test plans and scenarios, and analyzing test results to identify bottlenecks and areas for improvement.

Skills: Splunk, AppDynamics, Tableau, Oracle 11g, Putty, Win-Scp, Remedy Smart IT, HTML5, JavaScript, XML, MS Excel, Windows 10

• Ensured 2nd line support requests, clarify tickets, ad-hoc queries, support to external applications are allocated within team and tracked its completion/resolution.
• Partnered with Global Customer support colleagues to manage the production environment of applications used by investigating data issues.
• Used CloudWatch Logs to interactively search and analyze log data in Amazon CloudWatch Logs. Performed queries to help search more efficiently and effectively to respond to operational issues and validate deployed fixes.
• Wrote SQL Queries using Join Conditions, Group by functions, Sub Queries, Correlated Sub queries, Nested Queries and Inline Views to retrieve data from the database.
• Loaded the flat file data into database table by creating multiple SQL*Loader control scripts.
Modified database objects like tables, views, Indexes, Synonyms, Sequences, Constraints, table spaces, functions, stored procedures, packages etc.

• Assisted professors with instructional responsibilities for undergraduate courses, including evaluating over 1,000 assignments annually.
• Contributed to a 15% improvement in overall student performance and a 10% increase in average student scores.
• Conducted weekly office hours and facilitated workshops each semester, resulting in a significant decrease in student inquiries.
• Aided over 100 students in improving their learning strategies and time management skills.
• Collaborated with faculty members to design and implement course materials, increasing course organization and student engagement.
• Enhanced teaching, mentoring, and data analysis skills while fostering a passion for solving real-world problems through data analytics.

• Ensured 2nd line support requests, clarify tickets, ad-hoc queries, support to external applications are allocated within team and tracked its completion/resolution.
• Partnered with Global Customer support colleagues to manage the production environment of applications used by investigating data issues.
• Used CloudWatch Logs to interactively search and analyze log data in Amazon CloudWatch Logs. Performed queries to help search more efficiently and effectively to respond to operational issues and validate deployed fixes.
• Wrote SQL Queries using Join Conditions, Group by functions, Sub Queries, Correlated Sub queries, Nested Queries and Inline Views to retrieve data from the database.
• Loaded the flat file data into database table by creating multiple SQL*Loader control scripts.
• Modified database objects like tables, views, Indexes, Synonyms, Sequences, Constraints, table spaces, functions, stored procedures, packages etc.