Business Solutions Software Applications

Susmitha

Email: ad5pco@r.postjobfree.com Mobile: +1-919-***-****

* ***** ** ** ********** in Splunk Developer, Splunk Admin, Splunk Cloud, and Splunk ITSI, Software Analysis, Cloud Technologies like AWS, Development for various software applications in providing business solutions. Experience in Python, Ansible, GIT, Jenkins, Docker, Dynatrace, Scripting like Bash, Python.

SKILLS:

Splunk Enterprise (8.x, 9.x), Splunk ES, Splunk Cloud, Splunk Web Framework, Splunk ITSI, Splunk ES, Splunk SOAR.

Splunk ADMIN certified.

Splunk Fundamentals Part 2 Certified.

Operating Systems Solaris (8,9 10), Red Hat Linux (7,8,9), Unix, AIX, Windows.

Python, Ansible, SQL, MSSQL, Oracle, Docker, Jenkins, Dynatrace, ServiceNow, JIRA, Cribl, Bash Scripting.

Worked with Splunk Python SDK to create custom commands.

JavaScript, HTML, CSS, XML, JSON

Summary

Designs and optimizes Splunk Platform Architecture for large-scale and distributed deployments.

Establishes best practices and development standards and ensures that the team adopts them.

Maintains a close partnership with Splunk on feature requests, upgrade planning, and product roadmap alignment.

Configuration and management of ITSI modules, services, and entities.

Creating and maintaining KPIs (Key Performance Indicators) and service definitions.

Building and customizing glass tables and dashboards to monitor services.

Utilizing ITSI for security monitoring and incident response.

Developing and maintaining security-related KPIs and correlation searches.

Investigating security incidents and alerts generated by ITSI.

Collaborating with other ITSI administrators to ensure proper configuration and utilization of security features.

Experience in Dynatrace Monitoring like Synthetic and Application performance Monitoring APM

Managed log ingestion processes, ensuring efficient data collection from various sources into Splunk.

Optimized search queries and dashboards to enhance performance and facilitate actionable insights.

Evaluated existing configurations and recommended improvements to align with industry best practices.

Developed scripts in Python and Bash to automate tasks and streamline workflows.

Integrated Splunk with other SaaS platforms through API calls for enhanced functionality and data correlation.

Collaborated with cross-functional teams to address Splunk-related incidents and fulfill requests promptly.

Strong scripting skills in Python, as 90% of existing work is in this language. This could involve writing scripts to interact with the Splunk API, automate tasks, or analyze log data.

Experience with interconnected, heterogeneous systems.

Strong understanding of industry standards and technologies.

Create different dashboards, visualizations that helps client to monitor their applications easily in an efficient manner according to business needs.

Worked on Setup Indexer, Search Head, Deployment Server, Heavy Forwarder and Universal Forwarder.

Create Apps on Deployer Server and push on all the peers according to Business Lines Requirement.

Configured Deployment Server to manage multiple Universal Forwarders, Created Server classes and deployment Apps to push on Clients (Universal Forwarders).

Leveraged Splunk to analyze operational data and generate insightful reports for key stakeholders.

Create customized alerts and scheduled reports as per user requests.

Integrated Service Now with Splunk to track Incident progress of various teams.

Used Splunk tool to analyze the logs in the applications.

Parsing, Indexing, Searching concepts Hot, Warm, Cold, Frozen bucketing. Expertise in using the commands like regex, to extract the fields from log files.

Establish and ensure adoption of best practices and development standards.

Guide business decisions through interpretation of data trends, develop data visualizations to illustrate key findings.

Worked on various Search commands like stats, chart, time chart, transaction, eval, table etc.

Communicate with peers and supervisors routinely, document work, meetings, and decisions.

Projects

Client: CGI Duration: Jan 2020 to Till Date

The Project is for an American worldwide health services organization. It offers Medicare and Medicaid products and health, life, and accident insurance coverages primarily to individuals in the U.S and selected international markets.

Role: Splunk Lead Analyst

Job Role and Responsibility:

Excelled as a Splunk Engineer, optimizing, and expanding the existing Splunk architecture to align with evolving business and security needs, enhancing system performance and data analysis capabilities.

Directed the seamless transition of Splunk infrastructure from an on-premises setup to a cloud-based solution, focusing on data integrity and leveraging cloud scalability to improve data processing and analysis.

Resolved critical performance issues in a demanding Splunk Cloud environment, employing strategies such as search optimization, efficient resource allocation, and conflict resolution in index configurations, ensuring high availability and swift data access.

Engineered comprehensive Splunk dashboards for network operations, offering dynamic, real-time visuals of network status, application health, and security alerts, thus facilitating quicker decision-making and improved operational efficiency.

Innovated with Splunk by integrating data from diverse sources into unified dashboards, employing sophisticated search commands, custom visualizations, and dynamic fields to uncover insights and trends not immediately apparent from isolated data sets.

Developed and customized Splunk Knowledge Objects and lookups to significantly enhance event data comprehension, leading to more accurate and timely alerts, especially for the cybersecurity monitoring team.

Automated the deployment and management of Splunk infrastructure using Terraform scripts, achieving faster deployments, consistent configurations, and minimizing human errors across cloud and on-premises setups.

Designed a highly scalable and efficient log processing solution utilizing cloud functions for preprocessing logs from varied formats before ingestion into Splunk, enhancing data uniformity and analysis readiness.

Crafted and deployed Python scripts for the automation of data preprocessing tasks, including data cleansing, normalization, and enrichment from multiple sources, ensuring high-quality data is available for analysis in Splunk.

Utilized Splunk's REST API through custom Python scripts for administrative tasks such as automating index management, configuring searches, and dynamically generating reports, improving operational efficiency and response times.

Implemented Splunk Edge Processing to strategically manage data forwarding based on data sensitivity and compliance needs, ensuring secure and compliant data handling practices.

Demonstrated deep expertise in AWS and cloud technologies, effectively integrating Splunk with various cloud services and platforms to enhance monitoring and data analysis capabilities.

Extended Splunk's capabilities to security operations and automation by integrating and utilizing Splunk SOAR for orchestrated response and analysis, showcasing an advanced understanding of Splunk's ecosystem.

Leveraged Git for source control in collaborative Splunk development projects, enhancing code quality, and facilitating team collaboration on Splunk app development and custom script versioning.

Established a federated search capability across Splunk Cloud and on-prem environments, unifying data visibility and analysis, thereby streamlining operational and security monitoring processes.

Achieved seamless integration of third-party APIs with Splunk SOAR, enhancing the security operations center's (SOC) ability to respond to incidents quickly and effectively through automated workflows.

Collaborated closely with stakeholders to ensure smooth deployment of Splunk integrations, adhering strictly to change management protocols to minimize disruptions and maintain system integrity.

Showcased exceptional problem-solving skills, applying analytical and critical thinking to troubleshoot and resolve complex issues within Splunk environments and integrated systems.

Advocated for and practiced agile methodologies in the development and deployment of Splunk applications and automations, promoting a culture of continuous improvement and team collaboration.

Technical Environment: Splunk Enterprise, Splunk Cloud, Edge Processor, HEC, Splunk SOAR, Splunk ITSI (4.7), Linux, AWS, Python, Ansible, UNIX, GIT, GITHUB, Jenkins, Docker, Service Now, SIEM, JavaScript, CSS, Shell Scripting, HTML. JSON, XML.

Client: Doss Software Duration: June 2017 to Dec 2019

The Project is for was primarily set-up as a high-quality service delivery center in the areas of embedded software development, enterprise applications development and support, information security services.

Role: Splunk Developer

Job Role and Responsibility:

Created Dashboards, report, scheduled searches, and alerts.

Create Apps on Deployer Server and push on all the peers according to Business Lines Requirement.

Configured Deployment Server to manage multiple Universal Forwarders, Created Server classes and deployment Apps to push on Clients (Universal Forwarders).

Resolved configuration-based issues in coordination with infrastructure support teams.

Experienced developing Splunk queries and dashboards targeted at understanding.

Knowledge in various search commands like stats, chart, time chart, transaction.

Extracted complex Fields from different types of Log files using Regular Expressions.

Created and configured management reports and dashboards.

Created EVAL Functions where necessary to create new field during search run time.

Worked with internal clients to develop requirements, relationships, and value metrics.

Developed best of breed performance and capacity planning metrics.

Managed existing application and created new applications.

Maintained documentation of applications including what work has been done, what is left to do, and site-specific procedures documenting the Splunk environment.

Involved in setting up alerts for different type of errors.

Created complex Dashboards, statistical reports, alerts and worked on other knowledge objects.

Implements and maintains Splunk platform infrastructure and configuration.

Undertakes day-to-day operational and user support.

Executes new projects as well as data and user onboarding.

Staffs help desk for Splunk platform system-related assistance.

investigate and triage incidents detected by ITSI to identify root causes and minimize service disruptions, collaborating with AWS administrators and developers as needed.

Design and configure IT services within ITSI to monitor the performance, availability, and reliability of the cloud-native application deployed on AWS

Technical Environment: Splunk Admin, Splunk Developer, Splunk ITSI (4.7), Linux, AWS, Python, UNIX, GIT, Service Now, SIEM, HTML, JavaScript, CSS, JSON, SQL, XML

Client: Doss Software Duration: June 2016 to May 2017

This project is for an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset backed securities, mortgage servicing rights, and other credit-related assets.

Role: Software Engineer

Job Role and Responsibility:

Develop, test, and maintain .NET-based applications using programming languages such as C#, VB.NET, or F#.

Participate in the entire software development lifecycle SDLC, including requirements analysis, design, implementation, testing, and deployment.

Collaborate with other team members, such as designers, analysts, and testers, to deliver high-quality software solutions.

Write clean, efficient, and maintainable code following best practices and coding standards.

Debug and troubleshoot issues reported by users or identified during testing.

Stay updated with the latest .NET technologies, tools, and best practices to continuously improve development processes and outcomes.

Set up and configure CI/CD pipelines using tools like AWS DevOps, Jenkins, or TeamCity to automate build, deployment, and release processes for .NET applications.

Manage infrastructure as code using tools like Terraform or ARM templates to provision and configure AWS cloud resources.

Monitor application performance, availability, and security using tools like AWS Monitor, Application Insights, or ELK stack.

Implement and manage containerization and orchestration solutions using Docker and Kubernetes for .NET applications.

Collaborate with development teams to streamline development workflows, optimize resource utilization, and improve deployment reliability and speed.

Education:

B.Tech (Information Technology) from Vasireddy Venkatadri Institute of Technology with 77% as aggregate in 2016 from India.

Contact this candidate