Overview
Work History
Education
Skills
Websites
Certification
Disclaimer
Timeline
Generic

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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Deeksha Parsediya