kinjal v.

9 + years of experience in designing scalable, reliable and available Network Monitoring system for large enterprise through data driven decision. •Experienced Network DevOps Engineer with a strong foundation in network architecture, automation, and cloud integration. •Proficient in scripting, CI/CD, and network security. •Committed to optimizing network performance and reliability through DevOps principles. Skilled troubleshooter with a passion for staying updated with emerging technologies. Ready to drive efficiency and security in complex network environments. • Programming language: Python, Bash, Perl • Networking Protocols: IGRP, EIGRP, OSPF, BGPv4, RIP, TCP, UDP, DNS, TLS, SSL, HTTP, HTTPS, SMTP, SSH, IPSEC, NAT, • Monitoring protocols: gNMI, ICMP, NETCONF,gRPC, SNMP, NetFlow, Syslog • Network Config: YANG, OpenConfig, NETCONF • Networking devices: Load balancers (Layer 4 and Layer 7-WAF (Imperva)), Firewall(A10/Checkpoint), VPN, Router, Switch, Cradle point, Access Point(Mist/Cisco), WAF • Tools: Wireshark, tpdump, tshark, ELK, TICK, Splunk, GIT, Kafka , RabbitMQ • Cloud providers: AWS, Open stack • AWS Services: EC2, Elastic Load Balancer (CLB, ALB, NLB), EFS, Route 53, VPC, NAT Gateway, Auto-Scaling groups, Direct Connect, AWS VPN, CloudWatch, CloudFront (CDN), SQS, SNS, S3,GuardDuty, Macie • Business analytics tools: Tableau, Power BI, Qlik • Development environment: Visual Studio Code, Anaconda, IntelliJ, Jupyter notebooks • Bug/File system: Pier • Web server: nginx, Apache • Databases: MySQL/PostgreSQL, Neo4j, Hadoop • Cloud computing platforms: ServiceNow, Jira • ML algorithms: linear, regression, k-mean clustering, FB prophet • Machine Learning & AI: TensorFlow, Keras, NLTK, GPT-3, fb prophet • DevOps & Cloud: Docker, Kubernetes, OpenStack, Terraform, Ansible, Nornir, Prometheus, Grafana, ELK Stack, Podman • Python ML libraries: NumPy, pandas, sci-kit-learn, Tensorflow