Highlights

Profile

• Agile-Driven DevOps Engineer with a Data Science Background | Bridging Methodologies, MLOps and AI Expertise for Innovative Solutions


• 6 years of overall experience working in Devops, Data science and Technologies.


• 3.5+ years of experience in the field of DevOps Engineer in application configurations, code compilation, packaging, building, automating, managing and releasing code from one environment to other and deploying to servers.


• Proficient with container systems like Docker and container orchestration like Container Service &


• Kubernetes.


• Managed Docker orchestration and using Kubernetes.


• Good Knowledge on writing Docker Compose files and Deploying Docker services.


• Used Kubernetes to orchestrate the deployment, scaling and management of Containers.


• Good Experience in Dockerizing the Applications, In Dockerfile, Creating Docker images and configuring the Docker Containers.


• Implemented Helm charts for simplifying and standardizing Kubernetes deployments, enhancing the efficiency and reliability of application.


• Configured Prometheus and Grafana to monitor and visualize key metrics, enabling proactive identification and resolution of performance issues.


• Collaborated with cross-functional teams to optimize monitoring setups and dashboards in Grafana, providing actionable insights into system health,performance & Alerting Mechanism.


• Major focus on Linux/unix administration & software configuration & build release management. Experience in Linux Administration Installation, Configuration, Tuning and Upgrades of Linux (RedHat). Experience in Linux Administration Installation, Configuration, Tuning and Upgrades of Linux.


• Worked on cloud-based servers like AWS and Digital Ocean.


• Hands on experience with EC2, S3, RDS, VPC, ELB, EBS, Auto scaling.


• Implemented CI/CD Pipeline with GitHub Actions for Database-as-a-Service (DBaaS) Feature Hands on experience in installing and administrating CI/CD tools like Jenkins & Ansible.


• Experienced in branching, merging and maintaining the versions using SCM tools like Git and GitHub on windows and Linux platform.


• Good Knowledge in Shell, Python scripting.


• Hands on knowledge in Git & Jenkins.


• Experienced in Project Management and issue tracking tool like JIRA.


• Strong analytical and problem-solving skills and can work either independently with little or no supervision or as a member of a team.


• Good written and verbal communication skills, strong organizational skills and a hard-working team player, well-practiced in attending phone calls and answering business team queries.

 

Skills

Projects

Project 1. - IT Industry (24 months)

Technologies : Agile, Containerization,Cluster management ,Monitoring and Logging, Administrative.

 

Roles & Responsibilities:






• Set up and managed Docker containers, applications, for deployment into Kubernetes Pods.


• Involved in development of test environment on Docker containers and configuring the Docker containers using Kubernetes.


• Building/Maintaining Docker container clusters managed by Kubernetes Worked on infrastructure with Docker containerization and maintained Docker Images and containers.


• Troubleshot and resolved issues related to Kubernetes clusters, including networking, pod scheduling, and container runtime errors, ensuring minimal downtime and smooth operation.


• Implemented robust monitoring solutions for Kubernetes environments using Prometheus and Grafana, configuring custom dashboards and alerts to proactively identify and address performance bottlenecks and anomalies.


• Implementated of federated Prometheus setups to establish centralized monitoring across multiple Kubernetes clusters, facilitating comprehensive visibility and control.


• Deployed and orchestrated applications and microservices on Kubernetes clusters, leveraging Helm charts for streamlined management and versioning. Worked on hands on task on Linux Administrative


• Worked on task related to Git,Jenkins & Ansible.

Project 2. - IT Industry (7 months)

Roles & Responsibilities:






• Data Profiling & Identifying Metrics for data science problems. Identifying key metrics and performance indicators.


• Performed predictive modelling (Logistic Regression) Performed predictive modelling for dormant analysis. Selection of optimum classification algorithm.


• Selecting the most relevant attributes using regularization methods like Ridge, Lasso and EN.


• Worked on risk scoring and default loan prediction.


• Worked end-to-end implementation of analytical applications.






 

Project 3. Rakuten - IT Industry

Roles & Responsibilities -






• Architected Cluster-Level Monitoring Solution:






Spearheaded the design of a comprehensive monitoring solution utilizing federated Prometheus and Grafana for data visualization. Successfully engineered an architecture capable of monitoring the entire cluster, facilitating troubleshooting for issues encountered in dashboards. This solution was pivotal for Real- time Communication Platform (RCP) and Customer Virtual Infrastructure Management (CVIM).






• Implemented Robust Alerting Mechanism:






Engineered and implemented an efficient alerting mechanism to ensure proactive monitoring across the entire infrastructure. Designed to promptly notify stakeholders of any anomalies or critical events, enhancing system reliability and operational efficiency.

 






• Orchestrated Backup & Disaster Recovery Strategy:






Devised and executed a comprehensive backup and disaster recovery plan for the entire infrastructure, leveraging our proprietary solution, kg-backup, for seamless backup and restoration processes. Ensured business continuity and data integrity through meticulous planning and execution.






• Engineered Storage Solutions for Kubernetes Environment:






Led the design and implementation of storage solutions tailored to Kubernetes environments, optimizing data storage and retrieval processes. Leveraged Kubernetes-native options to ensure efficient and scalable storage management, meeting the diverse needs of the project.






• Automated Node Upgrades with Ansible Playbooks:






Implemented Ansible playbooks to automate node-by-node upgrades seamlessly as new rollouts were released. This streamlined the upgrade process, minimizing downtime and ensuring smooth transitions while maintaining system integrity.





 

Project 4. Yotta - IT Industry

Roles & Responsibilities -






• Developed Core Kubernetes Platform (CKP) for Cloud Orbiter Deployment:






Engineered CKP, a bespoke Kubernetes cluster tool tailored for deploying our cloud-based product, Cloud Orbiter. Designed CKP as a feature-rich solution by constructing Debian packages for seamless integration into marketplaces, enabling effortless deployment and management of Cloud Orbiter instances on client premises.






• Implemented Comprehensive Monitoring Solution with VictoriaMetrics & Grafana:






Orchestrated an end-to-end monitoring solution utilizing VictoriaMetrics and Grafana. Engineered a robust framework to monitor system health, performance metrics, and resource utilization, empowering proactive maintenance and optimization efforts.






• Automated CKP Cluster Creation with Ansible Playbooks:






Developed Ansible playbooks to automate the creation of CKP clusters, streamlining deployment processes and reducing manual intervention. This automation enhanced deployment efficiency and ensured consistency across CKP deployments.






• Utilized Jenkins Jobs for End-to-End Cluster Deployment:






Leveraged Jenkins jobs to orchestrate end-to-end cluster creation processes, ensuring smooth and reliable deployment of CKP clusters. This automated deployment pipeline enhanced deployment speed and reliability while reducing human error.






• Implemented CI/CD Pipeline with GitHub Actions for Database-as-a-Service (DBaaS) Feature:






Designed and deployed a robust CI/CD pipeline using GitHub Actions to automate the creation of MongoDB instances as a Database-as-a-Service (DBaaS) offering. This pipeline facilitated seamless integration and deployment of new features for client products, enabling clients to effortlessly create and manage databases to meet their specific needs.






• Configured Ceph Cluster for Versatile Storage Solutions:






Configured a Ceph cluster to provide flexible storage solutions including Object Storage, Block Storage, and Filesystem Storage. Designed to scale horizontally and accommodate diverse storage requirements, ensuring high availability and data durability for the infrastructure.





 

Project 5. House Price prediction - IT Industry

Description - In this project ,Machine learning techniques are applied to analyze historical property transactions in India to discover useful models for house buyers and sellers. House prices increase every year, so there is a need for a system to predict house prices in the future. House price prediction can help the developer determine the selling price of a house and can help the customer to arrange the right time to purchase a house.

 

Roles and Responsibilities






• Performed Data Cleansing, Pre-processing and Exploratory Data Analysis. Performed feature engineering on selected data set.


• Regression methods like Linear, Decision tree,SVM,Ridge and lasso,Random Forrest,KNN used predicting AQI. Visualized using Seaborn And Plotlib.


• Deployed using Flask