Harshal Patel

• As part of this intensive program, had the opportunity to acquire knowledge and secure real world hands-on experience of the architecture and working components of AWS by modernizing 20+ projects utilizing Cloud computing and DevOps tools such as Kubernetes, Terraform, Ansible, Docker & GitHub: - Migrated an on-premise app to Multi Cloud enterprise environments: AWS & GCP using Kubernetes and Terraform. I provided solution designs to meet system strategies and technologies by responding to current and future business requirements.
• Exploring ways to reduce AWS storage costs (published in Towards Dev)
• Built a scalable web app using AWS Elastic Beanstalk, DynamoDB & CloudFront (utilizing Edge location caches). Identified and remediated single points of failure and security risks
• How to transform data into actionable intelligence. Detailed steps to Query the Data Lake, Visualize the Data, Stream Data and finally Discover Insights: Using AWS Glue Data Catalog, Amazon QuickSight, AWS Comprehend, AWS Kinesis Data Streams & Data Firehose (published in Towards Dev)
• Migrated a workload running in a corporate Datacenter to AWS using the Amazon EC2 & RDS service
• Using AWS Lambda to set up a function and connect to other services
• Provisioning a complete two-tier architecture 100% automated using Terraform without a single line of coding
• Remotely managed all AWS resources, without logging into servers, to automate common administrative tasks, using AWS Systems Manager. Used metrics to monitor application and infrastructure performance.
• Built a dynamic, serverless web application; hosting static content with Amazon S3, using Amazon Cognito to manage users and authentication, and finally built a RESTful API for backend processing using Amazon API Gateway, AWS Lambda and Amazon DynamoDB (published in Towards Dev)
• Using AWS Pricing Calculator to create an executive level presentation of Infrastructure costs associated for a SAP Migration project from On-Premises to AWS
• How to enable Docker Swarm run in 'swarm mode' and deploy infrastructure on AWS
• Provision & deploy of 100 webservers with NGINX on AWS using Terraform & Ansible on Cloud9.

• As part of this program, I got to implement working components of, Azure by modernizing projects utilizing Kubernetes, Terraform & Ansible:
• Provisioning a complete two-tier architecture 100% automated using Terraform without a single line of coding
• Multi cloud federation of users and groups between Azure and Oracle Cloud (published in Towards Dev)
• Using Azure Machine Learning to train a AI model that predicts bicycle rentals on a given day
• Deploying a Docker image to the k8s cluster using Azure Kubernetes Service (AKS).
• Implement the Azure Computer Vision cognitive service that uses pre-trained ML models to provide value to a business.
• Collaborated with development and operations teams to develop practical automation solutions and custom modules.
• Defined cloud architecture for both hybrid and non-hybrid cloud solutions.

Implemented working components of GCP by modernizing projects utilizing Cloud computing and DevOps tools such as Kubernetes, Terraform, Ansible and GIT:

• Migrated an on-premises app to Multi Cloud enterprise environments: AWS & GCP using Kubernetes and Terraform.
• Using Python to create resources on GCP using Google Cloud libraries
• How to use the GCP recommender service to explore cloud savings.
• Used IAM services to create a Service Account. This allowed communication via scripts within the architecture through Cloud SDK and Python Scripts.
• The, Implemented working components of GCP by modernizing projects utilizing Cloud computing and DevOps tools such as Kubernetes, Terraform, Ansible and GIT: - Migrated an on-premises app to Multi Cloud enterprise environments: AWS & GCP using Kubernetes and Terraform
• Using Python to create resources on GCP using Google Cloud libraries - How to use the GCP recommender service to explore cloud savings
• Used IAM services to create a Service Account. This allowed communication via scripts within the architecture through Cloud SDK and Python Scripts
• How to privately communicate between GCP and AWS using VPN tunnel?
• Migrating and modernizing a datacenter on Google Kubernetes Engine (GKE) using Anthos.

In this intensive program, I had the opportunity to secure real world hands-on experience of the architecture and working components of Oracle Cloud by modernizing 20+ projects utilizing Cloud computing and DevOps tools:

• How to use Ansible playbooks to deploy IAM resources on Oracle Cloud?
• Multi cloud federation of users and groups between Oracle Cloud & Azure (published in Towards Dev)
• Using Object Storage in Oracle Cloud to deploy a web video backup application utilizing a totally ‘keyless’ approach by using Instance Principals (dynamic groups).
• Deploying a store on Oracle Cloud using Terraform Cloud to store the state, and terraform pipeline to auto-detect code changes and push to Git.
• Converting an excel spreadsheet into a 100% serverless progressive web & mobile app using Oracle Autonomous DB and Oracle Application Express integrated with OCI email delivery service.

• Implemented VoC feedback back loop with core Product Management teams and managed solution deliveries for enhanced customer experience
• Grew existing customer accounts by 29% through exceptional customer service and effective communication
• Led cross-functional solution design and implementation for enterprise level customer for complex work stop issues on Oracle FMW suite of products (WebLogic Server, WebCenter, WebLogic Portal and Oracle Data Integration Cloud products)
• Investigated system issues and implemented resolutions to reduce downtime.
• Assessed business requirements to create focused solutions.

• Control tower for customer escalations for assigned accounts. Key role in driving the situation to success
• Executed troubleshooting and server support in both in-person and remote situations.
• Quickly triaged live issues and escalated calls when necessary, reducing average time to resolution by 19%
• Acted as a liaison between customers and product development team to deliver service and solution for Oracle customers
• Collaborated with the global team to develop & implement strategies to provide round-the-clock services, increasing availability by 20%
• Identified, analyzed, and resolved technical problems for a suite of Fusion Middleware applications.