Devops Engineer Project Management

TECHNICAL SKILLS

Nikith Kaithalapuram 857-***-****

************@*****.*** Atlanta, GA, USA LinkedIn Github Programming Languages & scripting: Python, Bash, SQL, Shell Scripting, Groovy, Ruby on Rails. Cloud Technologies: Amazon Web Services, EC2, S3, Lambda, IAM, CloudFormation, Redis. Tools: Docker, Terraform, Jenkins, Kafka, MySQL, Ansible, RabbitMQ, Grafana, LLM, YAML, Kubernetes, PostgreSQL. Version Control and project management: Git, CI/CD, DevOps, GitHub, JIRA, ServiceNow, GitHub Actions, Slack Operating Systems: Windows, Linux, Active Directory, IaC. Monitoring and Visualization: MangoDB, Tableau, Elasticsearch, Kibana, Logstash. SUMMARY

5+ years of experience in Systems Engineering and AWS DevOps, specializing in system stability, automation, and incident resolution. Strong expertise in Windows/Linux administration, database management, system lifecycle support, and IT service governance.

Proficient in scripting (Python, Bash, PowerShell) for automation and process optimization. Skilled in containerization

(Docker, Kubernetes), cloud platforms (AWS), and monitoring (Splunk, Dynatrace, CloudWatch).

Experienced in engaging stakeholders, gathering requirements, and delivering innovative IT solutions in global, cross- functional environments.

Skilled in Docker, Kubernetes, OpenShift, and ECS for containerization and effective orchestration.

Experienced in Git and JIRA for effective version control and team collaboration.

Skilled in linux, windows server administration, scripting and automation to streamline support tasks and improve operational efficiency.

WORK EXPERIENCE

DevOps Engineer- Intern

Smart Cookie Rewards – Manchester, NH

Dec 2024 – May 2025

Designed REST APIs using Spring and Hibernate, integrated into React frontend for a live data dashboard ensuring real-time updates and data reliability.

Conducted backend performance tuning and applied security controls for compliance across academic systems.

Applied TCP/IP, DNS, HTTP/HTTPS, and load balancing principles to design and maintain a secure and high-performing network architecture.

Developed robust backend solutions using Spring Boot and integrated React.js-based frontend, enabling data-driven dashboards with improved operational oversight

Collaborated in Agile teams, identifying and eliminating blockers through regular sprint retrospectives. Graduate Assistant – Student

University of New Hampshire – Manchester, NH

Aug 2022 – May 2024

Designed REST APIs using Spring and Hibernate, integrated into React frontend for a live data dashboard ensuring real-time updates and data reliability.

Led modernization of UI stack by migrating legacy code to React.js, decreasing bounce rates by 15% and increasing user retention.

Leveraged AWS cloud services for autoscaling, load balancing, multi-region failover to ensure 99.99% system availability skills directly transferable to Garmin's multi-cloud systems.. Engineered CI/CD pipelines with Jenkins and Docker, cutting deployment downtime by 90%.

Resolved 85% of escalated technical issues within 24 hours by applying root-cause analysis and proactive incident management.

Supported IT infrastructure projects including PC refresh, network upgrades, and lab system integrations DevOps Engineer

Pulse Network– Hyderabad, India

Sep 2021 – Aug 2022

Developed a neural network model in Keras to classify spam vs. legitimate calls with 92% accuracy, leveraging high-volume datasets and HPC.

Leveraged AWS networking components, including VPC peering, Transit Gateway, and Route 53, to architect complex network infrastructures for seamless communication.

Assisted in setting up Prometheus monitoring for tracking application performance and generating insights

Performed CRUD operations like update, Insert and Delete data in MongoDB and handled database access and data transmission based on RESTful API

Integrated DynamoDB with AWS Lambda functions, enabling serverless data processing and reducing infrastructure overhead. Machine Learning Data Associate I

Amazon Development Centre – Hyderabad, India

May 2018 – Aug 2021

Developed a neural network model in Keras to classify spam vs. legitimate calls with 92% accuracy, leveraging high-volume datasets and HPC.

Collaborated within a Linux environment, troubleshooting and configuring network settings to ensure optimal application connectivity.

Used ServiceNow for incident tracking and learning incident management processes in a real-world context.

Automated SIP traffic analysis using Wireshark and Scapy, saving 300+ man-hours via advanced data processing scripts.

Pioneered ML workflows to flag faulty product placements, contributing to operational improvements in fulfillment. Environment: RESTful Web Services, Groovy, SQL server, Kibana, Docker, Jenkins, AWS, EC2, S3, RDS, Lambda, ECS, VPC, IAM, SQS, SNS CloudFormation, AWS CodePipeline, Git, API Gateway, OpenShift, Kubernetes, Docker, Nexus, MySQL, ECS, DynamoDB, AWS CloudWatch, Agile, Scrum, Eclipse, JIRA, Powershell, GitHub, Linux, Terraform, Bash, ServiceNow. RESEARCH AND VOLUNTEER

Serverless Architecture Using AWS Lambda May 2024

Research work presented at 2024 Graduate Research Conference held at University of New Hampshire.

Accomplished high server availability as measured by a 99% uptime, by successfully handling HTTP requests routed through API Gateway

Community Intitative – Food Bank Automation

Spearheaded a logistics and donation platform in partnership with local food banks and stake holders which increased donations by 50% vent an effective food collection initiative boosted food donations by 100%.

Member of CNCF(Cloud Native Computing Foundation). CERTIFICATIONS

Agile Software Development Scrum for Developers

Fundamentals of CockroachDB with Python SQLAlcemy

AWS Certified Solutions Architect Associate

CockroachDB with SQLAlchemy – Fundamentals

Attended Technology Entrepreneurship program conducted by prestigious Indian School of Business, Hyderabad, India.

Azure Fundamentals (pending)

Hashicorp Terraform Associate(pending)

EDUCATION

University of New Hampshire - Manchester, NH May 2024 Master’s in Information technology

Practical Artificial Intelligence, Network Systems, Data Visualization and Communication, Integrated Practicum, Big Data for Engineers, Secure Network Technologies, Software Development, Technical Leadership. Jawaharlal Nehru Technological University Hyderabad - India May 2018 Bachelors in Electronics and Communication Engineering PROJECTS

Power BI Data Analyst Project – Unicron Companies Dashboard

Created a dynamic Power BI dashboard to examine sales data across multiple regions, uncovering a 30% revenue gap that informed region-specific marketing strategies.

Spearheaded the development of a cutting-edge Unicron companies data, enhancing robustness and performance by 50%.

Automated ETL workflows using Power BI Power Query to ingest and transform Excel/CSV datasets, reducing manual data preparation time by 60%.

Cleaned and standardized over 5,000 records from Excel, resolving 100+ null or inconsistent entries using transformation logic in Power Query.

Tools & Technologies: Excel, CSV, Power Query Editor, Dashboard. Environment: Microsoft Excel, Visualization, Data modeling, Microsoft Power BI, GitHub, Windows OS Wireshark and Cisco Packet Tracer network simulation

Utilized Differentiated Services Code Point (DSCP) to classify and prioritize traffic; validated packet marking using Wireshark and achieved up to 40% improvement in simulated VoIP traffic delivery by assigning EF (Expedited Forwarding) values.

Built an end-to-end enterprise network simulation using Cisco Packet Tracer featuring IPv4/IPv6 dual-stack routing, 802.11ac wireless connectivity, TCP/IP protocol analysis, and DSCP-based QoS optimization. Leveraged packet capture tools to validate traffic flow, latency, and service prioritization. Tools & Technologies: Cisco Packet Tracer, Wireshark, DSCP, TCP/IP, IPV4, IPV6, 802.11ac, ICMP UDP, Ping, Traceroute, IP SLA.

Environment: Cisco Packet Tracer, Ipv4, IPv6, QoS, DSCP, Scripting. Kaminsky DNS Cache Poisoning-Remote Exploit Lab(SEED LAB)

Implemented a hybrid attack strategy combining Python/Scapy and raw-socket C programming to generate and flood DNS replies with random transaction IDs, reaching over 5000+ packet/sec throughput for optimal collision probability.

Validated attack success through rndc dumpdb -cache, DNS record analysis, and packet capture in Wireshark, showing the poisoned cache contained forged NS and A records.

Engineered a remote DNS cache poisoning attack (Kaminsky method) by crafting high-volume spoofed DNS responses to a vulnerable BIND9 local DNS server, achieving successful injection of malicious NS records. Tools & Technologies: BIND9, Scapy, C, Wireshark, dig, Docker, Linux, DNS. Environment: SEED Ubuntu 20.04 VM, Webservices, Metwork Traffic Analysis, 4-node network topology with Docker-based containers.

ADDITIONAL

English (Speak, Write, Read), Willing to relocate, International Experience.

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