Sai Lokesh Badam Venkata

• Developed ADF pipelines and DataFlows to perform data transformations on
batch data.
• Developed GitLab pipelines to deploy the Grafana stack, including Tempo, Mimir, and Loki to improve the observability of microservices deployed in AKS Clusters by 25%.
• Worked with Terraform to provision infrastructure for ADF pipelines in Azure Cloud.

• Worked on migration of Black Duck Harness from on-premises cloud to AWS
• Comparative analysis between ECS and EKS
• Flow diagrams of Black Duck with scan profiles
• Developed tailored Docker files for distinct Scan profiles encompassing Docker image scanning, source code scanning, live box scanning, and binary code scanning.
• Presenting pilot deployment using ECS in a hybrid approach (combining FARGATE and EC2 launch type) this includes working with various other AWS services like VPC, Elastic load balancer, Security Groups, Launch Templates, EC2, ECR, and Auto-Scaling Groups with Capacity Providers
• Dynamically Provisioned EC2s in ECS that act as on-demand docker host
• Terraform to provision required infrastructure through code
• Ansible playbooks to automate Jenkins plugin installation and to write cloud config inside Jenkins container
• Hands-on experience of working with Synopsys Detect (GUI+CLI) to run Blackduck Scan using DETECTOR, Signature SCANNER, and DOCKER INSPECTOR tools.

• Designed, deployed, and managed Azure Virtual Networks to securely isolate and connect resources in Azure by reducing latency by 30%
• Executed seamless migration of on-premises MySQL databases to Azure MySQL by proficiently orchestrating Azure Data Factory pipelines
• Designed and configured Azure Virtual Networks (VNet), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing
• Implemented network peering to establish communication between VNets in different Azure regions
• Used maven to build artifacts in CI/CD pipelines and stored them in release tool in Nexus
• Installation of patches and packages using RPM and YUM in Red hat Linux
• Extensively used Azure PaaS solutions and hosted Isolated App service environment integrated with PaaS Azure SQL and Virtual network to host different type of applications like Web app, API App, Function App etc.

• Installation, configuration, backup, recovery, maintenance, and support of RedHat Linux
• Configured Yum repository server for installing packages from centralized server
• Install and configure Ubuntu and Centos on remote servers and Desktop servers
• Installed and configured Apache/Tomcat web server
• Crafted customized Docker files to construct Docker images, subsequently archiving them in Amazon Elastic Container Registry (ECR)
• Implemented AWS EKS networking configurations to ensure seamless communication between pods and services
• Designed and implemented disaster recovery plans for Kubernetes clusters on EKS, ensuring data integrity and minimal downtime in case of failures
• Implemented Role-Based Access Control (RBAC) for Kubernetes clusters to enhance security and regulate user permissions
• Implemented advanced traffic management strategies using Istio, such as canary releases, A/B testing, and blue-green deployments
• Integrated observability tools, including Prometheus, Splunk, and Grafana, into Kubernetes clusters for enhanced monitoring and analytics capabilities
• Administrated and automated AWS infrastructure and integrated services using Terraform to Provision serverless AWS Lambda functions and operating by involving in build & deploying using CI/CD pipeline tools using GIT, Sonar, Nexus Artifact to AWS regions
• Build CI/CD pipelines for application and service delivery into Cloud Foundry via Jenkins – build and release with Maven and Nexus Artifactory
• Implemented deployment of containerized applications into Amazon EKS (Elastic Kubernetes Service) clusters through utilization of Helm charts.

• Enabling versioning of source and DevOps code through git
• Proficient in AWS services like VPC, AKS, EC2, S3, ELB, Autoscaling Groups (ASG), EBS, RDS, IAM, Route 53, CloudWatch, CloudFront.
• Written ansible playbooks for configuration management using Articatory and copy Modules Stored docker images into Elastic container registry
• Facilitated horizontal auto-scaling of virtual machines by incorporating Launch Templates, and efficiently directed traffic to applications through the utilization of Application Load Balancer
• Conducted static code analysis through SonarQube until meeting specified code quality requirements
• Enhanced deployment of Elastic Kubernetes Clusters by leveraging Terraform, utilizing modules and workspaces across various regions for streamlined provisioning
• Established Jenkins authentication by associating IAM role, enabling seamless deployment of applications onto EC2 instances in Different environments including staging and Production Environments
• Performed S3 buckets creation, policies and IAM role based polices and customizing JSON template
• Implemented and maintained monitoring and alerting of production and corporate servers/storage using AWS Cloud watch.