Meghna Datta

Terraform & Automation

• Infrastructure as Code (IaC): Expert in using Terraform to automate and manage cloud infrastructure, including deployment and scaling of resources. Created and customized CloudWatch alarms for EKS resources and OpenSearch domains, enhancing monitoring and alerting.
• Terraform Modules & GitHub Integration: Designed dedicated Terraform modules for metrics management and integrated them with other services for improved scalability and reduced operational overhead. Maintained version control of Terraform configurations using GitHub, ensuring efficient code management and collaboration.
• Change Management & Documentation: Proactively managed Terraform configurations through creation, updates, and deletions. Documented deployment processes to facilitate knowledge transfer and ensure comprehensive understanding among team members.

Governance & Automation

• Sentinel Policies: Implemented Sentinel policies in Terraform Cloud (TFC) to maintain strict governance, prevent misconfigurations, and enforce compliance. Led automation initiatives including policy testing, parameter changes, and managing change requests.
• Agile Methodology: Applied Agile practices, including working with feature stories and sprints. Used Azure DevOps pipelines for deploying automation, including PowerShell scripting for task automation and pipeline management.

Cloud Cost Management

• Cost Optimization: Implemented cloud cost management solutions using CloudHealth to monitor and optimize expenditure. Tracked budgets, analyzed cost trends, and generated reports to ensure efficient resource allocation and cost savings.

AWS & Lambda

• Automation & Scripting: Deployed AWS Lambda functions in Python for automating alert acknowledgements and ServiceNow ticket creation. Utilized Lambda for creating alias indexes in OpenSearch to enhance data organization and retrieval.
• CloudFormation: Developed and executed CloudFormation scripts for deploying and managing AWS resources, leveraging both the AWS Management Console and CLI.

ELK Stack Management

• Full Stack Deployment: Managed Elasticsearch, Logstash, and Kibana (ELK) stack deployment, including onboarding logs from Mule RTF and OpenShift. Utilized log forwarders like Filebeat and Metricbeat, and used Logstash filters for log parsing.
• Cluster Management & Indexing: Oversaw ELK cluster management using REST APIs and implemented index management with ILM policies (hot, warm, cold). Conducted log analysis and visualization with Kibana.

• Worked as a Public Cloud Professional on Microsoft Azure Platform, involved in configuring and managing azure resources i.e Virtual machines, storage accounts, resource groups etc.
• Remote login to Virtual Machines to troubleshoot, monitor and deploy applications
• Create, delete, update users, groups and giving them required permissions
• Responsible for backup and restoration
• Troubleshoot Azure related issues and engage internal team and related support teams
• Actively working on Problem management,Change management, support tickets in order to manage day to day activity of the cloud environment
• Report generation on weekly activities for client presentation and generate
• Estimation of cost for different resources using Azure Pricing Calculator and Cloud health tool
• Configuring alerts for different events such as High CPU utilization, disk space alert, quota monitoring for resources
• Infrastructure Resizing using Terraform.

• Responsible for designing, implementing and supporting of cloud based infrastructure and its solutions
• Built S3 buckets and managed policies for S3 buckets and used S3 bucket and Glacier for storage and backup on AWS
• Created and managed EC2 instances using AMI's of Linux
• Administered AWS platform services - create, delete, update AWS services as per the requests from Dev team
• Designed AWS Cloud Formation templates in YAML to create customized VPC , subnets , NAT to ensure successful deployment of Web applications and database templates
• Configured alarms in Cloud Watch service for monitoring the server's performance, CPU Utilization , disk usage etc
• To take recommended actions for better performance
• Experience in creating snapshots and amazon machine images(AMI) for instance backups and creating clone instances
• Created a Lambda Deployment function, and configured it to receive events from S3 bucket
• Included security groups , network ACL's , Internet Gateways , and Elastic IP's to ensure a safe area for organization in AWS public cloud
• Created and configured elastic load balancers and autoscaling groups to distribute the traffic and to have a cost efficient, fault tolerant and highly available environment.
• Proficient in Mulesoft support, including log analysis and issue troubleshootng.Experience in managing Mulesoft anypoint platform.Management of middleware application servers in Production,Pre-Production.Test and Staging across global Markets.
• Expertise in configuring S3 buckets for proxy endpoints and URIs, as well as monitoring application traffic using Kibana