- Communication
- SQL
- Java
- Jira
- AWS
- Linux
- Python
- Mongodb
- Azure
- GCP
- Customer Service
- .Net
- ServiceNow
- Incident Management
- Troubleshooting
- Reduced average incident resolution time by 30% through improved documentation and SLA adherence.
- Automated routine database health checks using Python, reducing manual oversight.
- Facilitated cross-functional calls between engineering and customer support to clarify service limitations.
- Managed escalations from enterprise accounts, ensuring they received timely and accurate updates.
- Developed onboarding materials for new support engineers, shortening their ramp-up time.
- Communication
- SQL
- Java
- Jira
- AWS
- Linux
- Python
- Mongodb
- Azure
- GCP
- Customer Service
- .Net
- ServiceNow
- Incident Management
- Troubleshooting
- Reduced average incident resolution time by 30% through improved documentation and SLA adherence.
- Automated routine database health checks using Python, reducing manual oversight.
- Facilitated cross-functional calls between engineering and customer support to clarify service limitations.
- Managed escalations from enterprise accounts, ensuring they received timely and accurate updates.
- Developed onboarding materials for new support engineers, shortening their ramp-up time.
- Communication
- SQL
- Java
- Jira
- AWS
- Linux
- Python
- Mongodb
- Azure
- GCP
- Customer Service
- .Net
- ServiceNow
- Incident Management
- Troubleshooting
- Reduced average incident resolution time by 30% through improved documentation and SLA adherence.
- Automated routine database health checks using Python, reducing manual oversight.
- Facilitated cross-functional calls between engineering and customer support to clarify service limitations.
- Managed escalations from enterprise accounts, ensuring they received timely and accurate updates.
- Developed onboarding materials for new support engineers, shortening their ramp-up time.
- Communication
- SQL
- Java
- Jira
- AWS
- Linux
- Python
- Mongodb
- Azure
- GCP
- Customer Service
- .Net
- ServiceNow
- Incident Management
- Troubleshooting
- Reduced average incident resolution time by 30% through improved documentation and SLA adherence.
- Automated routine database health checks using Python, reducing manual oversight.
- Facilitated cross-functional calls between engineering and customer support to clarify service limitations.
- Managed escalations from enterprise accounts, ensuring they received timely and accurate updates.
- Developed onboarding materials for new support engineers, shortening their ramp-up time.
- Communication
- SQL
- Java
- Jira
- AWS
- Linux
- Python
- Mongodb
- Azure
- GCP
- Customer Service
- .Net
- ServiceNow
- Incident Management
- Troubleshooting
- Reduced average incident resolution time by 30% through improved documentation and SLA adherence.
- Automated routine database health checks using Python, reducing manual oversight.
- Facilitated cross-functional calls between engineering and customer support to clarify service limitations.
- Managed escalations from enterprise accounts, ensuring they received timely and accurate updates.
- Developed onboarding materials for new support engineers, shortening their ramp-up time.
- Communication
- SQL
- Java
- Jira
- AWS
- Linux
- Python
- Mongodb
- Azure
- GCP
- Customer Service
- .Net
- ServiceNow
- Incident Management
- Troubleshooting
- Reduced average incident resolution time by 30% through improved documentation and SLA adherence.
- Automated routine database health checks using Python, reducing manual oversight.
- Facilitated cross-functional calls between engineering and customer support to clarify service limitations.
- Managed escalations from enterprise accounts, ensuring they received timely and accurate updates.
- Developed onboarding materials for new support engineers, shortening their ramp-up time.
- Communication
- SQL
- Java
- Jira
- AWS
- Linux
- Python
- Mongodb
- Azure
- GCP
- Customer Service
- .Net
- ServiceNow
- Incident Management
- Troubleshooting
- Reduced average incident resolution time by 30% through improved documentation and SLA adherence.
- Automated routine database health checks using Python, reducing manual oversight.
- Facilitated cross-functional calls between engineering and customer support to clarify service limitations.
- Managed escalations from enterprise accounts, ensuring they received timely and accurate updates.
- Developed onboarding materials for new support engineers, shortening their ramp-up time.
- Communication
- SQL
- Java
- Jira
- AWS
- Linux
- Python
- Mongodb
- Azure
- GCP
- Customer Service
- .Net
- ServiceNow
- Incident Management
- Troubleshooting
- Reduced average incident resolution time by 30% through improved documentation and SLA adherence.
- Automated routine database health checks using Python, reducing manual oversight.
- Facilitated cross-functional calls between engineering and customer support to clarify service limitations.
- Managed escalations from enterprise accounts, ensuring they received timely and accurate updates.
- Developed onboarding materials for new support engineers, shortening their ramp-up time.
- Communication
- SQL
- Java
- Jira
- AWS
- Linux
- Python
- Mongodb
- Azure
- GCP
- Customer Service
- .Net
- ServiceNow
- Incident Management
- Troubleshooting
- Reduced average incident resolution time by 30% through improved documentation and SLA adherence.
- Automated routine database health checks using Python, reducing manual oversight.
- Facilitated cross-functional calls between engineering and customer support to clarify service limitations.
- Managed escalations from enterprise accounts, ensuring they received timely and accurate updates.
- Developed onboarding materials for new support engineers, shortening their ramp-up time.
- Communication
- SQL
- Java
- Jira
- AWS
- Linux
- Python
- Mongodb
- Azure
- GCP
- Customer Service
- .Net
- ServiceNow
- Incident Management
- Troubleshooting
- Reduced average incident resolution time by 30% through improved documentation and SLA adherence.
- Automated routine database health checks using Python, reducing manual oversight.
- Facilitated cross-functional calls between engineering and customer support to clarify service limitations.
- Managed escalations from enterprise accounts, ensuring they received timely and accurate updates.
- Developed onboarding materials for new support engineers, shortening their ramp-up time.
- Communication
- SQL
- Java
- Jira
- AWS
- Linux
- Python
- Mongodb
- Azure
- GCP
- Customer Service
- .Net
- ServiceNow
- Incident Management
- Troubleshooting
- Reduced average incident resolution time by 30% through improved documentation and SLA adherence.
- Automated routine database health checks using Python, reducing manual oversight.
- Facilitated cross-functional calls between engineering and customer support to clarify service limitations.
- Managed escalations from enterprise accounts, ensuring they received timely and accurate updates.
- Developed onboarding materials for new support engineers, shortening their ramp-up time.
