Gagan Arora

DevOps Engineer

Gurugram, Haryana, India7 yrs 1 mo experience
Highly Stable

Key Highlights

  • Expert in automating cloud operations and resource management.
  • Proven track record in building scalable data pipelines.
  • Strong collaboration skills in cross-functional environments.
Stackforce AI infers this person is a DevOps Engineer specializing in cloud infrastructure and automation within the SaaS industry.

Contact

Skills

Core Skills

Cloud OperationsData Pipeline ArchitectureDevopsAutomationInfrastructure ManagementData VisualizationCost ManagementGovernanceMonitoringIntegrationAzure Devops ServicesTerraform

Other Skills

AIOpsAWSAWS CloudFormationAWS Identity and Access Management (AWS IAM)AWS LambdaAmazon S3Amazon Web Services (AWS)Architectural PlansArtifactoryAzureAzure AutomationAzure SentinelBashC++Cloud Infrastructure

About

🌟 Passionate DevOps Engineer with Expertise in Cloud Infrastructure and Automation πŸš€ | Leveraging Azure, GitHub Actions, and PowerShell to streamline service delivery and optimize resource utilization. Let's revolutionize your operations! #DevOps #Cloud #Automation DevOps Enthusiast: Passionate about leveraging cutting-edge technologies to revolutionize IT operations and delivery efficiency. Automation Advocate: Driving automation initiatives across the board, transforming resource management and accelerating workflows. Innovative Problem Solver: Crafting solutions that span from automating server decommissioning to orchestrating onboarding of critical DevOps tools. Agile Implementer: Seamlessly adapting to diverse requests, from updating Sentinel versions to creating data-rich governance dashboards. Azure Cost Efficiency Specialist: Expertly optimizing Azure costs by architecting an automated solution for snapshot and backup management. Data Pipeline Architect: Pioneering AI/OPS pipelines with Databricks, enhancing monitoring through Terraform and New Relic integration. Collaborative Partner: Thriving in cross-functional environments, collaborating with teams to ensure seamless integration and delivery. Strategic Insight Provider: Enabling stakeholders with actionable insights through dynamic governance dashboards, enhancing decision-making. Continuous Learner: Committed to staying at the forefront of DevOps methodologies and emerging technologies. Let's connect to explore how my expertise in DevOps can contribute to your team's success.

Experience

7 yrs 1 mo
Total Experience
2 yrs
Average Tenure
11 mos
Current Experience

Epam systems

Lead System Engineer

Jul 2025 – Present Β· 11 mos Β· India Β· Remote

  • Project: Customer Data Analysis
  • Overview:
  • Designed and deployed an end-to-end customer call analytics pipeline using Amazon Transcribe Live Call Analytics (LCA) and Post Call Analytics (PCA) across multiple AWS accounts.
  • Key Responsibilities & Achievements:
  • Live Call Analytics (LCA):
  • Deployed and configured LCA stacks via CloudFormation for real-time transcription of live customer calls.
  • Built region-specific deployments using publish.sh and automated multi-account stack publishing.
  • Integrated with Avaya call recordings β†’ real-time transcription β†’ S3 β†’ downstream sentiment & category detection.
  • Troubleshot mono audio ingestion and category detection issues.
  • Post Call Analytics (PCA):
  • Automated PCA deployment via CLI and CloudFormation; linked with LCA output S3 buckets for post-call analytics.
  • Supported both raw audio and pre-transcribed JSON inputs.
  • Enabled call categorization, redaction, entity detection, and sentiment analysis with PCA outputs visualized in QuickSight.
  • Built parallel S3 upload scripts (Python & PowerShell) for 5k–10k recordings with deduplication logic for ANI/SID.
  • End-to-End Data Flow:
  • Avaya Telephony β†’ S3 β†’ LCA (real-time transcription) β†’ PCA (analytics) β†’ QuickSight dashboards.
  • Key Learnings & Deliverables:
  • Automated multi-account, multi-region CloudFormation deployments.
  • Validated audio format compatibility (mono/stereo, WAV, JSON).
  • Improved ingestion throughput and ensured data consistency with deduplication and parallel uploads.
  • Strengthened operational efficiency and scalability across AWS environments.
AWSCloudFormationS3PythonPowerShellCloud Operations+1

Cloudeq

4 roles

Sr DevOps Engineer

Jul 2023 – Jun 2025 Β· 1 yr 11 mos

  • Project: Automate OPS Team
  • Description: This project focuses on automating 30% of the manual tasks carried out by the operations team. The objective is to enhance resource utilization and time efficiency for more streamlined service delivery. The project leverages GitHub Actions, Azure Service Principal, PowerShell, and Bash scripting to orchestrate and automate various operational processes.
  • Project: GKE Multi-Region Website
  • Description: The "GKE Multi-Region Website" project revolves around fostering internal learning by creating a Kubernetes solution for a multi-region website deployment. The primary objective is to delve into the intricacies of orchestrating a resilient and scalable website architecture using Google Kubernetes Engine (GKE). This initiative aims to empower the team with hands-on experience in configuring and managing a Kubernetes cluster that spans multiple regions. By successfully executing this project, participants will gain valuable insights into the complexities of designing and maintaining a high-availability website infrastructure across different geographical locations.
  • Project: Scalable Self-Hosted Runner for GitHub Actions
  • Description: The "Scalable Self-Hosted Runner for GitHub Actions" project centers on optimizing workflow execution by employing an Azure Kubernetes Service (AKS) cluster to establish a self-hosted runner. This approach facilitates horizontal scaling, enabling parallel execution of jobs to expedite efficient deliveries. Leveraging technologies like Terraform, Docker, JFrog, AKS, and GitHub Actions, the project focuses on creating an architecture that dynamically adjusts to workload demands, enhancing the speed and agility of the software delivery process.
GitHub ActionsPowerShellBashAzureTerraformDevOps+1

Senior devops engineer

Promoted

Aug 2022 – Jul 2023 Β· 11 mos

  • Project: Governance Framework Dashboard
  • Description: Our project centers around the creation of a comprehensive governance framework dashboard. This dashboard acts as a centralized hub, seamlessly collecting data from diverse tools' APIs including GitHub, SonarQube, and JFrog. Using Python, the collected data undergoes meticulous processing to derive valuable insights. The project incorporates an alerting mechanism triggered by specific criteria, ensuring prompt attention to critical issues. The final result is a dynamic dashboard that showcases the amalgamation of collected and processed data, providing stakeholders with an insightful overview of the organization's governance landscape.
  • Project: Azure Cost Optimization through Automation
  • Description: The "Azure Cost Optimization through Automation" initiative targets the efficient management of resources and costs within the Azure cloud environment. By creating an Azure Automation Account, this project automates scheduled processes aligned with the retention policies defined by the architect. Specifically, the project focuses on the deletion of snapshots and backups in accordance with established policies. Leveraging PowerShell scripting within the Azure Automation framework, the project aims to streamline resource management, minimize unnecessary costs, and ensure compliance with retention guidelines.
  • Project: AI/OPS Pipeline
  • Description: In this project, we established a data pipeline utilizing Databricks for an AI project. The pipeline was set up using Terraform, ensuring infrastructure as code (IAC) principles. To enhance operational insights, we integrated New Relic for comprehensive monitoring and observability of the pipeline's performance.
PythonPowerShellAzureNew RelicData VisualizationCost Management

DevOps Engineer

Promoted

Mar 2021 – Sep 2022 Β· 1 yr 6 mos

  • Project: Intake Request Automation
  • Description: Integrating various technologies to automate the process of infrastructure provisioning using Infrastructure as Code (IAC) i.e., Terraform. The project involves the utilization of ServiceNow, GitHub Actions, PowerShell, and Bash scripting. Additional technologies include Azure Storage Account, Active Directory, and Sentinel One for enhanced security.
  • Project: Server Decommission Automation
  • Description: Automating the process of server decommissioning to efficiently remove servers from all cloud tools, thereby reclaiming licenses and ensuring backup. The project employs Infrastructure as Code (IAC), ServiceNow, GitHub Actions, PowerShell, and Bash scripting. Additional technologies encompass Azure Storage Account, New Relic for monitoring, Commvault for backup, and Active Directory for authentication and access control.
  • Project: Enterprise DevOps Tools Onboarding
  • Description: Streamlining the onboarding process for essential enterprise DevOps tools such as JFrog, Active Directory, and SonarQube. The initiative involves automation through various technologies to ensure smoother integration and utilization within the organization's workflow.
TerraformPowerShellServiceNowGitHub ActionsInfrastructure ManagementAutomation

Cloud Administrator

Aug 2020 – Mar 2021 Β· 7 mos

  • Deploy and manage virtual machines, containers, and cloud services within the Azure cloud Environment.
  • Automate routine tasks using scripting and infrastructure-as-code (IAC) tools.
  • Collaborate with other IT teams to integrate cloud services with existing on-premises infrastructure.
Azure DevOps ServicesQualysIncident ManagementDatadogTerraformShell Scripting+32

Maven workforce inc.

Cloud Administrator

Sep 2019 – Jun 2020 Β· 9 mos Β· Noida, Uttar Pradesh, India Β· On-site

Daredevs

Cloud Administrator

Jan 2019 – Aug 2019 Β· 7 mos Β· Chandigarh, India Β· On-site

Tech mahindra ltd.

Customer Service Representative

Sep 2018 – Dec 2018 Β· 3 mos Β· Chandigarh, India Β· On-site

Education

JAI PARKASH MUKAND LAL INNOVATIVE ENGINEERING AND TECHNOLOGY INSTITUTE

Bachelor of Technology - BTech β€” Computer Science

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