Jul 2023 – Aug 2023 · 1 mo · India

• Involved in designing and implementing the architecture for the cloud infrastructure and application.
• Performed continuous integration and continuous deployment using Azure DevOps, establish the pipeline using azure tools and spanning up the multiple environments. Enable build and release.
• Develop azure resources such as azure web applications, application gateway, docker container, Kubernetes, storage accounts, key vault, virtual machines, service bus, EventHub, networking, Azure active directory.
• Experienced in working on DevOps/Agile operations process and tools area (Code review, unit test automation, Build & Release automation Environment, Incident and Change Management) including various tools.
• Involved in Hub & Spoke network topology and implement the hub & spoke model in our organization.
• Creating and maintaining Infrastructure for Applications in using Terraform. Building and Automating infra CICD pipelines for different applications using Jenkins and Azure Pipelines.
• Worked on deployment automation of all the microservices to pull image from the private Docker registry/Azure container registry ACR and deploy to Kubernetes (on-prem K8) and AKS cluster using Jenkins & Azure pipelines.
• Worked with Python, Bash, PowerShell, Groovy. Developed Shell & PowerShell scripts used to automate day to day tasks & automation of the build, release process.
• Deployed JAVA applications to application servers in agile continuous integration environment and automated the whole process.
• Used Azure Kubernetes service to deploy to managed AKS cluster in Azure and created AKS cluster in the azure portal, with the azure CLI, also used template driven deployment options such as ARM, Terraform.
• Experienced in both YAML & classic Pipelines.
• Deploying docker container to deploy web application into docker, configure the container registries and service connection to connect to docker hub or docker container registry to deploy from pipeline.

Mar 2020 – Jul 2023 · 3 yrs 4 mos · Hyderabad, Telangana, India · On-site

• Monitoring Alarms on regular basis and fixing them. Gained expertise in troubleshooting job errors.
• Data warehouse management using Hive, worked on creating both managed and external hive tables, partitioning, bucketing.
• Handling tickets/service requests using Coca-Cola Service Now ticketing tool
• Provisioning data lakes access to new users, using LDAP auth, Ranger for Hive and HDFS, R-studio, Jupiter hub access to data scientists and other request as per Coca-Cola ITIL process.
• Environment is completely on AWS cloud and we need manage all the services used in data lakes Linux EC2 instances, S3 buckets, SNS, SQS, Redshift, Dynamo DB, EMR cluster, Cloud formation stacks from AWS Console window.
• Nifi and kylo administration, exporting and importing templates, process groups from one environment to other, creating new nifi controller services based on project requirements.
• Managing all SFTP related activities, file retention, external vendors IP whitelisting.
• Designing and testing new pipelines under the supervision of big data architects and modifying the existing pipelines as per the vendor and business requirements.
• Involved in bench marking Hadoop cluster file systems various batch jobs and workloads.
• Involved in minor and major upgrades of Hadoop and Hadoop eco system.
• Installation of various Hadoop Ecosystems and Hadoop Daemons in cloudera and EMR
• Involved in Installing and configuring Kerberos for the authentication of users and Hadoop daemons.
• Optimizing performance of Hive/HBase/Spark Jobs.
• Working with application teams for scaling up instances and troubling shooting application issues.
• Adding users and groups to the Azure DevOps and setting up branch permissions to the users and groups, working with Azure Boards and configuring the work items and link the work items to the branch.
• Reviewing the repository history and comparing the version in case of any issues.
• Involved in minor and major upgrades of Hadoop eco system

Oct 2017 – Nov 2019 · 2 yrs 1 mo · Mumbai, Maharashtra, India · On-site

• Good experience in Hadoop Administration and Hadoop Application Support.
• Good experience in Hadoop Administration and Hadoop Application Support.
• Provide Hadoop L2 application support for Prod/Non-Prod/R&D environment from offshore. Responsible for managing the complete Hortonworks data lakes cluster which is having 3 clusters environment (PROD, QA, Dev)
• Working experience on managing Hadoop cluster which consists Ambari, adding/managing services, attaching/detaching nodes based on requirements and upgrading the services as well.
• Commissioning & Decommissioning of cluster nodes to & from the cluster, importing and exporting data from HDFS.
• Checking JobTracker, Resource manager and MapReduce job status. Performance Tuning of MapReduce / Yarn Jobs
• Troubleshooting Hadoop issues and ticket resolution within SLA for PROD cluster.
• Implementing Patches found on the platform by consulting the product vendor.
• Monitoring Alarms on regular basis and fixing them. Gained expertise in troubleshooting job errors.
• Data warehouse management using Hive, worked on creating both managed and external hive tables, partitioning, bucketing.
• Provisioning data lakes access to new users, using LDAP auth, Ranger for Hive and HDFS, R-studio, Jupiter hub access to data scientists and other request as per Coca-Cola ITIL process.
• Environment is completely on AWS cloud and we need manage all the services used in data lakes Linux EC2 instances, S3 buckets, SNS, SQS, Redshift, Dynamo DB, EMR cluster, Cloud formation stacks from AWS Console window.
• Nifi and kylo administration, exporting and importing templates, process groups from one environment to other, creating new nifi controller services based on project requirements.
• Managing all SFTP related activities, file retention, external vendors IP whitelisting.
• Designing and testing new pipelines under the supervision of big data architects and modifying the existing pipelines as per the vendor and business