Deeksha Parsediya
Overview
8
8
years of professional experience
6
6
Certifications
Work History
DevOps Consultant
Capgemini Invent
Gurgaon
7 2024 - Current
- DevOps consultant responsible for solutioning and implementation of CI/CD and end to end DevOps flow.
- Contributed to the organization''s overall success by staying current on industry trends, emerging technologies, and best practices in DevOps methodologies, continuously incorporating this knowledge into ongoing projects and team trainings.
- Implementing Terraform IAC for various Azure services along with CI/CD implementation.
DevOps Senior Engineer
Accenture
10.2020 - 07.2024
- Implemented solution for Azure MLOPS from Azure DevOps for deployment of ML model on ACI and AKS with Azure ML Studio service
- Setup MLOPS Pipeline in Azure DevOps for automation/deployment of ML model Pipeline endpoints
- Implemented Terraform module IAC scripts for AWS based services deployment
- Setup GPU based AWS EC2 instances for machine learning based ecosystem.
- Communicate effectively with team members and stakeholders, presenting technical concepts in an accessible manner to diverse audiences
- Experience deployment of workflow notebooks on azure Databricks service
- Lead multiple client project as a offshore lead DevOps Engineer
- Experience working with container orchestration platforms ex: Kubernetes, including deploying, scaling, and managing containerized applications in a production environment
- Implement IAC templates and automated deployed for machine learning based solution
- Deploy Java applications on AKS
- Deploy zero down time with gitlab CI/CD Blue-green deployment approach by helm chart for Kubernetes based application along with health checks and labels
- Integration of monitoring and logging solutions such as Prometheus, Grafana
- Did solutioning and Implement CI/CD Pipeline in Azure DevOps for deployment of angular Node and Python Django based application in Production environment on Azure APP service
- Setup CI/CD Yml Pipeline of Azure Devops from scratch for .Net application packages till production deployment
- Create data flow pipeline with Azure ADF also Familiarity working with Azure Databricks and Azure Synapsys
- Working with Argo CD workflows and sensors deployment
- Having understanding of DevSecOps with Azure DevOps Pipeline
- Implement CI/CD pipeline for Azure function app deployment and Azurelogicapp deployment
- Also implemented Powershell scripts for Azure file share automation, windows automated task and DB deployment integrated with CI/CD pipeline
- Deploy PySpark jobs with AWS Data Pipeline also worked with spark to reconciling data
- AWS service integration from boto3 code within BigData based application
- Implement Terraform template for implementation of AWS lambda services, subscription log filters and other services and write function in AWS boto3
- Responsible for lead deployment/ go live of C# and python Django based application project from Azure DevOps.
- Developed and maintained strong relationships with clients, and delivering custom solutions.
DevOps Cloud Specialist
HCL Technologies
08.2018 - 09.2020
- Implement Powershell scripts for automation Purposes
- Implement end to end SQL and Oracle query automation deployment workflow in Powershell within integration with Servicenow
- Worked on Security Product automated deployment solutioning and published same on AWS marketplace
- Written configuration Powershell scripts for deployment of C# .net based application on IIS server
- Integrate Azure Cloud Rest API with .net based web application
- Worked with Azure DevOps to create automated CI/CD pipeline for .net based projects along with terraform IAC scripts
- Worked with Azure cloud services (VM, azure monitor, AKS, APP services, RBAC etc)
- Worked with Jenkins also for deployment of applications
- Familiarity with security frameworks such as ISO, SOC, PCI, HIPAA and NIST
- Worked on google cloud services Compute engine, VPC, GKE, monitoring
- Worked with EKS cluster implementation and deployment of kubernetes webUI
- Setup Prometheus on EKS for monitoring of PODS
- Worked with AWS EC2, AMI, VPC, autoscaling, cloudwatch, IAM and other services
- Worked on Cloudchecker and Prisma Palo Alto Tool integration with AWS and Azure
- Worked on Splunk API integration with AWS and Azure cloud for cost/budget/monitoring/Recommendation/ Security
- Familiarity with security frameworks such as ISO, SOC, PCI, HIPAA and NIST
- Provide advice on project Azure Cloud environment costs
- Collaborate with engineers or software developers to select appropriate DevOps solutions
- Implement ARM template
- Worked with Terraform as well with Azure provider
- Integrating Docker with DevOps Automated Workflow for node.js application
- Having understating of Azure ML studio and Azure cognitive services.
Azure DevOps Engineer
CyberGroup
10.2016 - 07.2018
- Experience on CI/CD(build definition and deployment on Azure/Octopus/IIS) in AzureDevOps on C# Webapplications
- Worked on Release management in TFS for C# application
- Created Azure DevOps agents for deployment of Microsoft based applications
- Created Azure DevOps queries as well creation of Graph and Work-Item in Projects
- Having experience with worked on Octopus deployment Release, Setup projects variables, Set-up tentacle and Environments as well setup octopus services with VSTS
- Set-up Nuget server through VSTS and Deploy it to Octopus and added it as a services
- Working on Microsoft Azure
- Migration from ASM to ARM as well cloud operation
- Experience on Test Automation(creation of Runsettings, set test agent as well test controller) with VSTS
- Worked on TLS 1.2 Enforcement for .Net web-application
- Set-up Jenkins on Windows machine and build Pipeline
- Worked with Graylog elasticsearch data nodes clustering
- Able to Identify issues across the product and take steps to address gaps
- Development Tools - GIT, bitbucket, knows git policy, gitbash and branching, merging as well
- Exposure to Agile/Scrum methodology and MS Sql database
- Understanding of containerized application deployments using tools like Docker and Kubernetes
- Basic knowledge of network infrastructure for e.g
- TCP/IP, DNS, Firewall, router, load balancer etc
- Worked on Microsoft environment application infrastructure as well Ubuntu also.
Education
M.TECH (2 year) - Intelligent systems & Robotics
GAUTAM BUDDHA UNIVERSITY
Skills
Azure DevOps
Continuous Integration & Deployment
Release Management
Kubernetes
Prometheus
Docker
Powershell
Bash Scripting
Azure CLI
Terraform
AWS Boto3
Python
MS SQL automation
Cloud Technologies - Azure, AWS, Google Cloud
CI/CD Tools - Azure DevOps, Octopus, Jenkins, Cloudbees, ArgoCD, Gitlab
Infra-as-Code - ARM template, Terraform
DevSecOps tool: SonarQube, Fortify
Database Tools: MSSQLSERVER
Version Tools: GitHub, BitBucket, Azure repository
Languages: PowerShell, Bash Scripting, AWS CLI, AZ CLI Python, AWS Boto3, Python, PySpark
MLOPSTools: AzureMLOPS, ML studio, Azure ml sdk, ADLS, MLflow, ADF
Other Tools: Visual Studio, Postman, Airflow, Jira, SNOW
Monitoring: Cloudwatch, Azure Monitor, Prometheus, Grafana, kibana
Security/Compliance tools: Prisma and Cloud checker, compliance frameworks (EX:NIST, HIPAA)
Certification
MCP(Microsoft Certified Professional)
Disclaimer
I hereby declare that all the information given above is true to the best of my knowledge.
Timeline
DevOps Senior Engineer
Accenture
10.2020 - 07.2024
DevOps Cloud Specialist
HCL Technologies
08.2018 - 09.2020
Azure DevOps Engineer
CyberGroup
10.2016 - 07.2018
DevOps Consultant
Capgemini Invent
7 2024 - Current
M.TECH (2 year) - Intelligent systems & Robotics
GAUTAM BUDDHA UNIVERSITY
MCP(Microsoft Certified Professional)
Certified GitOps fundamental
Google Cloud Associate
Az104
AZ 400(Azure DevOps)
training certificate aws sagemaker
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