Devops Engineer Cloud

Krishna Reddy Kancharla

Phone: 214-***-****

Email: *****************@*****.***

LinkedIn: www.linkedin.com/in/krishna-reddy-kancharla-370aa5137

PROFESSIONAL SUMMARY

** + years of IT Industry experience focusing on AWS/Azure/GCP Solution Architecture & Implementations, Site Reliability Engineering, Big Data Platform Engineering, DevOps Engineering Containerization of Applications, Consulting and Operations

Experience in Cloud (Azure, AWS), DevOps, Configuration management, Infrastructure automation, and Continuous Integration and Delivery (CI/CD).

Technical hands-on experience in areas of Containers, Application, Platform, Security and Infrastructure streams for AWS Cloud, Microsoft Azure, Google Cloud GCP, DevOps Toolchain, Containers – CRD Kubernetes, OpenShift Container Registries, Network Monitoring workloads, Databases, Micro services applications.

Having expertise in architecting and implementing various Azure services, such as cloud services, storage, IIS, Active Directory (AD), Resource Manager, Blob Storage, VMs, SQL Database, Functions, Service Fabric, Monitor, and Service Bus.

Worked on backup and restoring Azure services and configuring Virtual Networks (VNets) and subnets, also managed Azure network settings, DHCP address blocks, DNS settings security policies, and routing.

Knowledgeable about Azure scalability and availability and have built VM availability sets and Virtual Machine Scale Sets (VMSS) using Azure Resource Manager (ARM) to manage network traffic.

Expertise on Config Maps, Storage Class, Pods, Replica Pods, Deployments, PVC, Services and Horizontal Pod Auto scaler config object types and provisioning Pods on Kubernetes OpenShift cluster.

Experience in implementing and configuring Serviceability and Observability via Prometheus/ Grafana for Kubernetes workloads (GKE), Cloud Build, and AWS Compute Nodes.

Experience in DevSecOps toolchain for Security / TLS/ MFA/OAuth ESG / Secrets / Network Layer Scans/Application Hardening/ Storage FS / Vault / Key Managements / NACL/ WAF etc. with Kong Gateway for Secure Protocols.

Experience in python code for CI/CD Code integration and developed a microservice that extracts data from PostgreSQL and generates a flat file and sends it to AWS S3 using GO.

Experience in Azure Kubernetes service (AKS) to deploy a managed Kubernetes cluster in Azure and created and used template driven deployment options such as Resource Manager Templates and in Terraform. Deploying applications into Kubernetes using GitOps Tools (ArgoCD)

Experience in creation of several pods and services using Master and Minion architecture of Kubernetes and developed microservice onboarding tools leveraging Python allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services.

Experience in usage of Kubernetes charts using Helm and created reproducible builds of the Kubernetes applications, managed Kubernetes manifest files and managed releases of Helm packages.

Experience in K-Native tool deployments for Apps on Kubernetes workloads on AWS/Azure/GCP.

Experience in design and implementation of APIs for mockery Kubernetes objects via Kube Vela

Experience in implementation of AWS Database Migration services DMS for complex data workloads with Schema Conversion Tool, Lift and Shift topology, building automation data migrate pipelines from On Prem Workloads to AWS Cloud.

Experience in Linux and Unix Administration say different versions and flavors of OEL 6/7/8/9, RHEL 6/7/8/9, SuSE 12/13/14/15, CentOS 1.x and flavors of UNIX - Solaris 9/10/11.x for SPARC and Intel Series.

Experience in AWS SSM, AWS IAM API management via creation of Cloud Formation Templates for ease of deployment and Role creations along with IAM Roles, Managed Policies, Instance Profiles, and S3 Bucket Policies.

Experience in implementation of standard Storage, Filesystems, Performant data availability and maintainability for highly intensive workloads with different file systems on AWS Cloud.

Experience in migration of PII health records from On Prem DC to AWS via Storage Gateway Configuration.

Experience in Cloud Migrations from OnPrem to Hybrid Cloud, modernization of applications, data platforms, setting up security, governance, compliance streams for multiple cloud providers .

Experience in Infrastructure Development and Operations involving AWS Cloud Services, EC2, EBS, EFS, NACL, VPC, RDS, SES, ELB, Auto scaling, CloudFront, Cloud Formation, Elastic Cache, API Gateway, Route 53, Cloud Watch, SNS.

Expertise in building CI/CD on AWS environment using AWS Code Commit, Code Build, Code Deploy and Code Pipeline and experience in using AWS CloudFormation, API Gateway, and AWS Lambda in automation and securing the infrastructure on AWS.

Experience in changing existing AWS infrastructure to Serverless architecture (AWS Lambda, AWS Kinesis) through the creation of a Serverless Architecture using AWS Lambda, API gateway, Route 53, S3 buckets.

Expertise in enabling RBAC guardrails for Azure Infrastructure, Platform and Software Services.

Expertise in design, handling and managing IOT, Layer Protocols, Security Layers including Data at Rest/Transit modules via Encryption, Event triggers via Azure Functions and documentation model hosted on Azure Cosmos DB.

Experienced in integrating Docker files into CI/CD pipelines, automating the building and deployment of Docker images, and creating efficient and secure Docker files for containerized applications.

Coming to Dockers, experience in leveraging multi-stage builds to streamline the Docker image creation process, separating build dependencies from the final runtime image. I have proficiency in using Docker Hub, Docker Engine, Docker images, Docker Weave, Docker Compose, Docker Swarm, and Docker Registry and used containerization to make applications platform when moved into different environments.

Experience with Splunk deployment, configuration, operations, and troubleshooting. Proficient in developing Splunk dashboards for monitoring and analytics to drive data-driven decisions.

Experience in IaaC via Terraform/Ansible and implementing Azure Databricks, Snowflake, RedShift, Azure Data Factory, MuleSoft, SeeBurger, Live Stream Applications, Data Lake, Machine Learning Models across different service lines of On Prem Workloads, AWS, Azure, GCP.

Experience in Security, Governance, Risk, Compliance, Cost Management and Operational Excellence and implementing TLS, HIPAA, PCI DSS, ACL, NAT, SAML, Auth Cloud Stack Security Standards.

Excellent communication and interpersonal skills, self-motivation, quick learner, and determination to learn new technologies, lead pre-sales efforts as well as providing technical guidance and thought leadership for multiple delivery engagements.

TECHNICAL SKILLS

Cloud Technologies

AWS, Azure, Google Cloud

Azure

Azure VMs, Azure App service, Azure Functions, AKS, Azure Storage (Blob

storage, File storage) Azure SQL Database, Azure Data Factory, Azure Virtual

Network.

AWS

AWS EC2, ELB, S3, EBS, VPC, Route 53, RDS, Auto-Scaling, IAM, SNS, SES, SQS, Cloud Front, Cloud Formation, Cloud Watch, Elastic Beanstalk

Containerization

Docker, Docker Swarm, Kubernetes (AKS, EKS, GKE), Helm, Istio.

CI/CD Tools

Jenkins, Cloudbees, AWS Code Pipeline, Azure Pipelines, GitHub Actions, GitOps, ArgoCD, Bamboo

Configuration Management Tools

Ansible, Rundeck, Vagrant, Chef, Puppet.

Version Control Tools

GIT, GitLab, Bitbucket, SVN, TFS.

Provisioning Tools

Terraform, Cloud Formation, ARM.

Scripting Languages

Shell, Groovy, Python, Ruby, JSON, YAML, Bash, Power Shell, C#, C++, java.

Code Scanning

Sonar Qube, Jfrog X ray, ECR Inspector

Virtualization Technologies

Virtual Box, VMware, Hyper-V, Vagrant, Packer, vSphere / ESXi, KVM, Docker

Operating Systems

Ubuntu, CentOS, Fedora, RedHat, Kali Linux, Windows, Windows Server.

Databases

MySQL, Oracle, PostgreSQL, MS Access, NoSQL (MongoDB, Dynamo DB).

Web Servers

Apache HTTP 3. x, Apache Tomcat, Nginx, Microsoft Internet Information Service (IIS).

Application Servers

JBoss, Oracle WebLogic server, IBM WebSphere Application Server

Container Platforms

Docker, Kubernetes, Open Shift, Helm, EKS, AKS

Migration Tools

SQL Developer, SSMS, ADF, Liquibase, Ora2pg, Amazon Schema Conversion tool, Azure DMS, AWS DMS, AWS Snowball.

Build Tools

Maven, Ant, Gradle, Selenium, Junit.

Bug Tracking Tools

JIRA, Service Now, BMX Remedy.

Repository Management

Nexus, JFrog, Artifactory.

Messaging System

Kafka

Logging

Cloud Watch, Cloud Trail, Azure App Insights, Monitor

Monitoring Tools

Nagios, Centreon, AWS Cloud Watch, Dynatrace, Splunk, Prometheus, Kibana, ELK, Datadog, New relic.

Networking Tools

Active Directory, Cisco Routers/Switches, IP, DHCP, DNS, LDAP, ADDS, FTP,

Wireshark.

Tracing

Jaeger, Zipkin, Open Telemetry

Languages

Python, Pyspark, Java, PowerShell, EMR scripting, YAML, Groovy, Bash, Go, Ruby, Perl

Education:

Bachelor of Technology in CS & IT from SIST 2011, India.

Master’s in computer science, New England College, 2013, New Hampshire, United States

Work Experience:

Client: Northern Trust, Chicago, IL

Role: Azure Platform Engineer I Data Masking Jan 2024 to Till Now

Managed Azure infrastructure as code (IaaS) using Terraform, including automation of OpenShift platform capabilities, and delivery of solutions in a fully automated and supportable manner. I wrote new Python scripts to support functionality in Terraform, ensuring high availability and security of Azure Virtual Machines.

Design and provisioned Azure cloud infrastructure resources such as VMs, VNets, Storage Accounts, Key Vault, Load Balancer, etc., to facilitate scalable and secure environments.

Developed reusable Terraform modules that enhanced resource deployment automation through reduced configuration errors and faster environment builds, while ensuring that OpenShift integration is seamless.

Created and maintained highly available multi-region Azure infrastructure spanning several availability zones using Terraform or ARM templates.

Publishing Docker images made on top of microservices on Azure Kubernetes services.

Created a Kubernetes cluster and created Deployments, services, RBAC, and Ingress.

Working with container deployments through Docker, Docker Compose, and Azure Container Registry on AKS clusters.

Configured ServiceNow through orchestration with Logic Apps to receive instant notifications regarding any configuration change in the cloud environment.

Migrated data from on-premises Oracle/ SQL Server/MongoDB to Azure SQL/CosmosDB/PostgresSQL using Azure Data Factory.

Effectively managed on-premises to cloud data migration using Azure Data Factory and Ora2pg for Oracle database migrations onto Azure, always ensuring minimal downtime and secure data transfer.

Development in allowing database administration tasks to be more efficient using SQL Developer and SQL Server Managed Instance, which automate schema updates using Liquibase. This event extends to automating ETL workflows for effective data integration.

Experience with Azure infrastructure management using Terraform, which includes Azure Web Roles, Worker Roles, SQL Azure, Azure Storage, Azure Active Directory Licenses, and Management of Azure Infrastructure through Blueprints and Landing Zone.

Experience working independently with the use of Azure Stack in Compute, Web and Mobile, Blobs, ADF, Resource Groups, Azure Data Lake, Azure Data Factory, Azure SQL, App Services, and CosmosDB and services to configure and deploy various applications with Azure Automation Scripts.

Developed GitHub Actions to build CI/CD pipelines, automating the continuous integration and delivery of software infrastructure resources

Integrated data validation processes into the CI/CD pipelines in Azure DevOps. This means that the rules around the data will be continuously checked and followed during application development and deployment.

Experience with the implementation of CI/CD pipelines using Azure DevOps YAML pipelines able to integrate with tools on Azure Databricks for seamless processing and analysis of data.

Used Azure DevOps-including Git repositories, Azure Pipelines, and Azure Boards-efficiently for versioning code to allow continuous integrations and project management processes in agile project management.

Coordinated environment setup and configuration - Linux, Windows, TOMCAT, Kafka, .NET servers amongst infrastructure teams, as an Environment Build Engineer to prepare for application deployments.

Coordinated with multiple infrastructure teams to ensure lower and higher environments were ready across multiple data centers, ensuring all necessary infrastructure components were deployed and configured, enabling seamless application deployments and reducing time-to-market.

Masking highly sensitive PII information in the non-production environment by automating masking processes for the development and testing phases to increase security.

Experience in data encryption and decryption processes using SecuPi to comply with regulatory standards given by GDPR for better cloud data security.

Ansible and Terraform were used to automate virtualized virtual machine (VM) deployments, ensuring configuration consistency throughout development, testing, and production.

Databases like SQL Server and Oracle are virtualized on Azure virtual machines (VMs) with storage accounts to maximize performance and managed disks for effective data management.

Configured monitoring tools with Azure Monitor, Prometheus, Grafana, and Dynatrace to provide end-to-end insight into cloud services, infrastructure health, and application performance, guaranteeing optimal system uptime and performance.

Designed and maintained PowerShell and Bash scripts to automate routine tasks like infrastructure provisioning, resource management, and data migration using code to reduce manual intervention.

Document and share best practices, processes, and system configurations to improve knowledge sharing and onboarding processes.

Environment: Azure Services, Terraform, ARM Templates, Kubernetes, Helm, Azure DevOps, Azure CLI, PowerShell, Bash, Docker, Prometheus, Grafana, Azure Monitor, Azure Monitor, Application Insights, Key Vault, Azure Data Factory, SQL Server Managed Instance, Liquibase, SQL Developer, Azure SQL, Dynatrace, SecuPi, Data Maskings

Client: Hewlett Packard, Houston, TX

Role: Platform Engineer Jan 2022 to Dec 2023

Responsibilities:

Worked in designing and configuring Azure Virtual Networks (VNets) and subnets, managing network settings, DHCP, DNS, and security policies. Proficient in creating and deploying VMs using ARM templates and managing virtual networks.

Worked on Azure Resource Manager Template and extensive knowledge on designing custom build steps using PowerShell, created various custom template for azure resource such as ASE, ASP, WebApp, PostgreSQL, App Gateway, Storage Account, container registry, key vault, Azure Cache for Redis to create complete infrastructure for the application.

Have set up and manage continuous integration jobs and continuous delivery pipelines in Azure DevOps (VSTS) and Experience with designing APIs and working with REST-based microservices and deploying the infrastructure and application in various environment like Demo, Test, PENTEST, Training, CTDEV, Sandbox, UAT, and PROD Environments.

Utilized Azure Databricks for custom DNS configurations and network security group (NSG) rules.

Automate provisioning and repetitive tasks using Terraform and Python, Docker container, Service Orchestration. Worked on Terraform, a tool for building, changing, and versioning infrastructure safely and efficiently, also worked with Terraform modules.

Created CI/CD pipelines using Azure DevOps environments by providing their dependencies and tasks. Also have experience in implementing and managing continuous delivery systems and methodologies on Azure and created end-to-end automation.

Improved automation and configuration management using Ansible and Ansible-based YAML scripts.

Leveraged Azure Automation for runbook creation, migration, authorization, and scheduling. I have developed build workflows using Gradle, Gitlab-CI, Docker, and Openshift.

Worked on Azure Active Directory connect to sync on-premises Active Directory user data, groups, and organizations to Azure AD and troubleshoot Azure services sync with on-premises AD and resync using the Azure tools also Configure security in Azure AD using privilege access management, Identity protection, multi-factor authentication (MFA) for two-factor authentication and also configured Azure Role-based Access Control (RBAC) to enforce granular user access management. Successfully migrated data on-premises to Azure Data Lake Store (ADLS) using Azure Data Factory.

Configuring and Controlling the Scale Up and Scale Out of the App Service Plans and Pricing tier (scale DTUs) while migrating the Databases and Applications from on-premises to Azure Cloud Platform.

Configured Azure Blob storage for efficient storage and retrieval of unstructured object data. Successfully migrated data on-premises to Azure Data Lake Store (ADLS) using Azure Data Factory. I am skilled in Azure infrastructure management using Terraform and SCOM.

Implement migration strategies for traditional systems on Azure (Lift and shift, Azure Migrate Service). While migrating the data provided encryptions and firewalls.

Implemented centralized identity management using Ping Directory, enabling single sign-on (SSO) for multiple applications.

Deployed microservices on Azure Kubernetes using Docker. Integrated Docker container orchestration using Kubernetes, creating pods and deployments.

Configured various types of Docker networks, including bridge, host, overlay, and macvlan networks, to meet specific application requirements.

Managed Kubernetes resources, such as pods, services, deployments, and ingress controllers, using Azure-specific tools and APIs. I have used Prometheus and Grafana Dashboard for getting Kubernetes metrics logs.

Maintained comprehensive documentation for Kafka configurations, procedures, and troubleshooting guidelines.

Expertise in Microsoft Azure Cloud Services (PaaS & IaaS), Application Insights, Azure Monitoring, Key Vault, Visual Studio Online (VSO) and SQL.

Handling various project applications on azure such as understanding and troubleshooting various issues on Azure resources like App Insights, SQL, Webapps, Application Gateway, Auto scale resources based on utilization, managed and Manage SSL certificates on domain name, CDN and AD authentication.

Environment: Azure Services, Terraform, Ansible, Docker, Kubernetes, GIT, Maven, Splunk, Nagios, Python Scripts, Java/J2EE, Linux, Azure DevOps, App services, AKS, Azure monitor, Application Insights, Key Vault, Azure Data Factory, Azure SQL

Client: Cisco, Richardson, TX

Role: AWS Cloud Engineer Feb 2020 to Nov 2021

Responsibilities:

Successfully migrated applications and data from on-premises to AWS using services like EC2, S3, Route53, and IAM.

Worked on Amazon EC2 setting up instances, virtual private cloud (VPCs), and security groups and created AWS Route53 to route traffic between different regions and used BOTO3 and Fabric for launching and deploying instances in AWS.

Configured Amazon S3, Elastic Load Balancing, IAM and Security Groups in Public and Private Subnets in VPC, created storage cached and storage volume gateways to store data and other services.

Architected and configured a virtual data center in the AWS cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups and Route Tables.

Used Security Groups, Network ACLs, Internet Gateways, NAT instances and Route tables to ensure a secure zone for organizations in AWS public cloud.

I worked on migration services like AWS Server Migration Service (SMS) to migrate on-premises workloads to AWS in an easier and faster way using Rehost "lift and shift" methodology and AWS Database Migration Service (DMS), AWS Snowball to transfer large amounts of data and Amazon S3 Transfer Acceleration.

Leveraging Terraform to manage various AWS resources, such as EC2 instances, VPCs, subnets, security groups, IAM roles, S3 buckets, RDS databases, and more. Managed and maintained highly available EC2 instances using Terraform and CloudFormation.

Implemented strategies for horizontal scaling and load balancing in Kafka to handle increased data volume and traffic.

Created reusable and modular infrastructure components using Terraform modules. Wrote Terraform scripts for automating AWS services provisioning, infrastructure deployment, and Lambda functions.

Worked on CI/CD pipelines using Jenkins to build, test, and deploy microservices containers on Kubernetes clusters using Ansible on DEV, UAT, and PROD environment.

Installed and configured Jenkins for continuous integration and delivery pipelines integrating with Nexus, SonarQube, and Ansible, created Ansible playbooks for automation purposes, including file manipulation, configuration changes, and deployments.

Implemented centralized identity management using Ping Directory, enabling single sign-on (SSO) for multiple applications.

Utilization of Docker containers to deploy applications on AWS services like Amazon ECS (Elastic Container Service) or Amazon EKS (Elastic Kubernetes Service).

Proficiency in writing Docker file instructions to define the desired state of applications and their dependencies.

Configured and optimized Docker images specifically for AWS deployments. Worked with multi-stage builds, cache optimization, and reducing image size in Dockerfile configurations.

Configuration of various Docker network types, including bridge networks, overlay networks, or custom networks tailored to specific AWS project requirements.

Integrated AWS services such as Amazon RDS, Amazon S3, AWS Lambda, Amazon DynamoDB, or AWS Elastic Load Balancer (ELB) with Kubernetes applications.

Set up Kubernetes using Amazon Elastic Kubernetes Service (Amazon EKS) or self-managed Kubernetes on Amazon EC2 instances.

Managed Kubernetes charts using Helm, created reproducible builds of the Kubernetes applications, Kubernetes manifest files and releases of Helm packages.

Developed CI/CD system with Jenkins on Kubernetes container environment, utilizing Kubernetes and Docker for the CI/CD system to build, test, deploy and configure Kubernetes to deploy scale, load balance, scale and manage Docker containers with multiple names spaced versions.

I have used Prometheus and Grafana Dashboard for getting Kubernetes metrics logs.

Written Templates for infrastructure as a code using Terraform to build staging and production environments.

Used Nagios for monitoring web applications, web services, and URL monitoring, content monitoring and HTTP status.

Managing multiple corporate applications in GitHub, Bitbucket code management repositories and creating & granting access for users related to GIT, Bitbucket project directories for the code changes.

Regular monitoring activities in Unix/Linux servers like Log verification, Server CPU usage, Memory check, Load check, Disk space verification, to ensure the application availability and performance by using Dynatrace and Zabbix.

Managing multiple corporate applications in GitHub, Bitbucket code management repositories and creating & granting access for users related to GIT, Bitbucket project directories for the code changes. Worked in integrating TFS with Visual Studio VSTS.

Monitored and gained insights about infrastructure, applications, and services using AWS CloudWatch, CloudTrail, and other third-party tools like Splunk and New Relic.

Implemented robust monitoring solutions with tools such as Prometheus, Grafana, and ELK Stack to track Kafka cluster performance.

Administration of CentOS/RHEL 5.x, 6.x, 7.x, installation, testing, tuning, upgrading and patching, troubleshooting both physical and virtual servers. Installed, configured and maintained Tomcat, Apache and WebSphere Applications on Red Hat Linux.

Environment: Amazon Web Services (Aws), EC2, RDS, S3, Cloud Watch, EBS, NACL, VPC, DNS, Docker Containers, Docker swarm, Kubernetes(k8s), Chef, Terraform, Jenkins, Git, GitHub, MAVEN, ELK, Nagios, Shell, Python, JIRA, Linux, Nexus, SonarQube, JFrog, Webhooks.

Client: Fidelity Investments

Role: AWS Cloud/SRE Engineer. Sep 2018 to Jan 2020

Responsibilities:

Senior AWS Cloud Engineer in service lines of Infrastructure, BigData, Cloud, DevOps across different service lines of On-Prem Workloads and cloud providers.

Implementation of Big Data Workloads across Bare metal, Containers inclined with high availability and disaster recovery across Governance models for Health Care, Life Sciences, Banking, Manufacturing, Payment Card Industry & Financial Domains.

Worked on Amazon EC2 setting up instances, virtual private cloud (VPCs), and security groups and created AWS Route53 to route traffic between different regions and used BOTO3 and Fabric for launching and deploying instances in AWS.

Configured Amazon S3, Elastic Load Balancing, IAM and Security Groups in Public and Private Subnets in VPC, created storage cached and storage volume gateways to store data and other services

Architected and configured a virtual data center in the AWS cloud to support Enterprise Data Warehouse hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups and Route Tables.

Designed application topologies by liaising with Architects that showcase various entities like Cloud services, Network, service dependencies, and public peer service

Used Security Groups, Network ACLs, Internet Gateways, NAT instances and Route tables to ensure a secure zone for organizations in AWS public cloud.

Worked on migration services like AWS Server Migration Service (SMS) to migrate on-premises workloads to AWS in easier and faster way using Rehost "lift and shift" methodology and AWS Database Migration Service (DMS), AWS Snowball to transfer large amounts of data and Amazon S3 Transfer Acceleration.

Created Pipelines in ADF using Linked Services/Datasets/Pipeline/ to Extract, Transform, and load data from different sources like Azure SQL, Blob storage, Azure SQL Data warehouse, write-back tool and backwards.

Leading the effort for migration of Legacy-system to Microsoft Azure cloud-based solution and re-designing the Legacy Application solutions with minimal changes to run on cloud platform.

Experience on Migrating SQL database to Azure data Lake, Azure data lake Analytics, Azure SQL Database, Data Bricks and Azure SQL Data warehouse, Azure HDInsight and controlling and granting database access and Migrating On premise databases to Azure Data Lake store using Azure Data factory.

Written Terraform scripts to automate AWS services which include ELB, CloudFront distribution, RDS, EC2, database security groups, Route 53, VPC, Subnets, Security Groups, and S3 Bucket and converted existing AWS infrastructure to AWS Lambda deployed via Terraform and AWS CloudFormation.

Deploying Windows Kubernetes (K8s) cluster with Azure Container Service (ACS) from Azure CLI and Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test and Octopus Deploy.

Implementation of Network Electric Endpoints via IoT / MQTT Protocol for Ejabberd Component via Event Hub Configuration and trigger points with Azure Step Functions.

Created Pipelines in ADF using Linked Services/Datasets/Pipeline/ to Extract, Transform, and load data from different sources like Azure SQL, Blob storage, Azure SQL Data warehouse, write-back tool and backwards.

Azure Cloud Engineering into Data Lake, DevOps, Platform Streams for Migrated Workloads.

Implementation of Agile, SAFe Scrum models for the project management operations.

Implementation of Audit for Backup, Monitoring, Retention Policy for Azure Workloads.

Implementation of Investment Management Data Solution on Azure DataBricks.

Implementation of Ranger Framework for monitoring and security standards on Azure cloud and automating via ARM Templates for the workloads

Application Migration from Monolithic to Microservices Based Architecture and deployment on Azure Container Services and container containerization via Kubernetes.

Deployment of Applications on Spark Clusters and data workloads on Kubernetes clusters and Terraform Scripts.

Maintenance of Docker Images/Data Volumes/Access Management/Namespaces/Services via K8s for Spark Applications.

Platform Support for Spark Clusters/DataBricks/DrivelessAI/Python Framework/Notebooks/Data Portal.

Implementation of PCI DSS, GRC Cloud Security Models and Compliance governance.

Build/Continuous Integration/Continuous Deployments via Bitbucket/Bamboo/NIFI/Data Pipelines/Azure DevOps tools.

Build/Continuous Integration/Continuous Deployments via Bitbucket/Bamboo/DevOps Tools.

Involved in the throttling of the functions to trigger proactive notifications.

Environment: AWS, EC2, RDS, S3, Cloud Watch, EBS, NACL, VPC, DNS, DataBricks, Terraform, Jenkins, Ansible, Git, GitHub, MAVEN, ELK, Nagios, Shell, Python, JIRA, Linux, Nexus, SonarQube, GIT, Maven, Splunk, Nagios, Python Scripts, Kick start, Java/J2EE, Linux, ServiceNow, Monitor.

Client: Fannie Mae, Plano, TX

Role: AWS Cloud Platform Engineer June 2017 to July 2018

Responsibilities:

Deployed AWS Solutions using EC2, S3, and EBS, Elastic Load balancer (ELB), auto-scaling groups and OpsWorks.

Defined and Implemented CI and Release Management Processes, Policies, and Procedure.

Automated the release pipeline to achieve zero touch deployments using Jenkins, SVN, Nexus, and Olio.

Creation and management of branches, merging branches, deletion of obsolete branches after every release.

Writing the post-commit and

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