Client : HPE Leading the design, development, and optimization of data engineering pipelines focused on handling large volumes of structured and unstructured data for GenAI solutions.Collaborating with stakeholders to gather requirements, scope projects, and define business data needs, ensuring alignment with GenAI objectives.Driving into the implementation of end-to-end data lifecycle processes, encompassing data ingestion, transformation, and consumption layers, with a focus on API usability.Establishing and enforcing the highest standards in data reliability, integrity, and governance, fostering accuracy, consistency, and trustworthiness in data sets.Demonstrating expertise in big data infrastructure, leveraging technologies such as MapReduce, Hive, and HDFS to support data processing and storage requirements.Creating comprehensive technical design documentation for data projects and pipelines, and proficiently handle technical debugging using version control tools like Git.Leveraging experience in machine learning and predictive analytics to enhance GenAI solutions.Applying knowledge of the banking or financial services industry to tailor data engineering strategies to specific domain requirements.Utilising proficiency in data storytelling and presentation techniques to effectively communicate insights derived from GenAI solutions.Managerial & Leadership Responsibilities:Providing strategic direction and leadership to the data engineering team, fostering a culture of innovation, collaboration, and continuous improvement.Mentoring and developing team members, empowering them to excel in their roles and drive business success.Staying abreast of advancements in cloud services, such as AWS, GCP, and Azure, and ensure their effective utilization to support GenAI initiatives.

Client : ServiceNow 1.CloudBees Migration to EKS Cluster for Prod and Subprod: • Led the successful migration of CloudBees resources to Amazon EKS clusters for both production and subproduction environments. • Orchestrated the assessment of dependencies, setup of EKS clusters, networking configuration, and seamless migration of applications and data.2.JFrog Migration to EKS Cluster: • Spearheaded the migration of JFrog resources to Amazon EKS clusters, ensuring efficient containerization of applications, setup of clusters, storage configuration, and meticulous data migration.3.Prisma POD Installation: • Implemented Prisma on EKS clusters to fortify security and compliance monitoring. • Directed the deployment of Prisma pods, formulation of security policies, and integration with existing security infrastructure for comprehensive protection.4.Day-to-Day Support for Prod EKS Cluster: • Provided hands-on support for the production EKS clusters, including proactive monitoring, swift troubleshooting, timely application of updates and patches, performance optimization, and adherence to security compliance standards. • Involved in overseeing complex migrations, implementing cutting-edge technologies, and ensuring the operational excellence of critical infrastructure in a dynamic DevOps environment.

Client : Apple Inc  Project : APPLE_SPLUNK As a Senior Project Engineer, working for Apple project in AWS@Apple Cloud environment to migrate on premises of splunk EKS clusters to the cloud.Responsible for automating and integration of cloud provisioning AMI’s creation and sharing over multiple Availability Zones with multiple AWS accounts using Packer.Delivering multiple Cloud Projects on cloud environment AWS.Ran and supported already delivered Cloud Projects / Environments.Supported a Hybrid Cloud Infrastructure, delivering high SLA of core components.Operated and monitored Global Cloud Landscape with the following tools: Infrastructure and Application Monitoring platform.Worked on production expertise with devops tools like Docker,Podman,and EKS.Worked on CI/CD Deployments using GIT and RIO,IaC tools like Pulumi,Terraform and cloudFormation to automate the creation of cloud resources.Excelled on multiple Kubernetes cluster (EKS) of Apple, deployed in the cloud and managing them efficiently.

Client: Nvidia Project 1: As a Devops Engineer, worked in agile based environment with proven ability to automate and optimize goal-based Kubernetes and Docker deployments for complicated infrastructure. Worked on Terraform(IaC) to automate the infrastructure tasks with multiple cloud providers like AWS and GCP.1)Dockerize the application.2)Creating the deployment.3)Exposing application using service and ingress4)Handling application configuration using config maps.5)Securing data using secrets.6)Deploying backend storage using stateful set.7)Packaging kubernetes cluster using Helm.8)Automated creation of AWS resources using Terraform(IaC).Operating System: Linux OS ( Ubuntu 22.04 , CentOS 7).Container Deployment & Automation: Docker, Kubernetes.CI/CD: Jenkins, GIT.Languages : Python,bash,Shell,Linux,YAML.Infrastructure as Code: Terraform and CloudFormationCentralised Caching: Redis Server(Backend storage), Data Streaming with RabbitMQ(transactional queries) and Kafka(Operational Queries),Ingress LoadBalancing in Kubernetes cluster,Kafka broker and zookeeper.Cloud Services: AWS( IAM,Security Groups,EC2,VPC,S3,Route53,SQS,ELB,ECS,EKS,EBS,CloudFormation,CloudWatch,CloudTrail).Project 2:“Centralised logging system” with ELK stack of different instance servers of apps to monitor the logs and metrics in cross-cluster replication , Index life cycle management and hot-warm architectures. Beats and kafka are installed across distributed environment to forward data to Logstash using pipelines. Logstash normalizes it and ships it to Elasticsearch where it is indexed and stored. And, finally, Kibana’s dashboards and visualizations help you analyze, detect anomalies, troubleshoot, and prevent security-related issues. Expert on ELK version upgrades.Buffering: Kafka ServerELK Configurations: YAML/Shell.Monitoring Tools : Grafana,Kibana and Prometheus,ELK stack,Splunk,Nagios,Apache Kafka,Redis,FluentD. Database: MongoDB,PostgreSQL.

Project : Airlines ApplicationClient : Boeing Aircrafts As a Software Engineer-AWS, worked on Migrating ASP.NET applications to AWS with Windows Web Application Migration Assistant. With the Elastic beanstalk deployed and scaled the web applications and retained the full control of the optimal AWS resources(EC2,S3buckets,EBS,CloudWatch) for powering the applications. Used adjustable settings to scale the applications for handling peaks in traffic, while minimizing costs. Handled the application management and implemented the deployments, from capacity provisioning, load balancing, and auto scaling to application health monitoring.

Project : Digital Transformation Client : Ford India AWS Cloud Engineer: Worked on Ebilly- Cloud based software project. Worked on large sacle infrastructure designs. Experienced in cloud based hosting solutions AWS. Created IAM roles, EC2 Servers and databases. Excellent working knowledge of Windows or Linux operating systems – experience of supporting and troubleshooting issues and performance. Provided mentoring and training of cloud technologies to related IT teams in provisioning and managing AWS services.