Tech Lead & DevOps Expert specializing in enterprise-scale cloud architecture and DevSecOps platforms. Delivered optimized distributed big data systems and designed multi-account AWS topologies while driving Kubernetes orchestration at scale. Developed and managed infrastructure as code, automated CI/CD pipelines, and established cloud governance, mentoring engineering teams through architectural reviews and migration strategies.
Overview
9
9
years of professional experience
Work History
DevOps Tech Lead (Project #6: Enterprise Platform & Big Data Modernization)
Wipro
10.2025 - Current
Spearheaded the technical roadmap for a next-generation hybrid cloud data platform, leading a team of 6 engineers to deliver highly available infrastructure spanning multiple AWS regions.
Designed and automated secure infrastructure for distributed AWS PySpark workloads running on EKS and EMR, cutting data processing costs by 35% using AWS Spot Instances and dynamic scaling policies.
Led architecture team in zero-downtime migration of database and container platform, achieving platform availability of 99.99%.
Executed GitOps-driven policy enforcement (Kyverno/OPA) and advanced RBAC for cloud environments and AWS PySpark analytics workspaces, strengthening security and compliance across shared CI/CD runners.
Collaborated with Data Science and Engineering leaders to develop reusable Terraform modules for bootstrapping isolated AWS PySpark execution environments, incorporating AWS Secrets Manager to improve security.
Led the design and implementation of a secure, multi-repo platform supporting 30+ teams, standardizing CI/CD pipelines using GitHub Actions and reusable workflow templates.
Migrated from legacy Jenkins to GitHub Actions, reducing pipeline execution time by 60% and enabling $200K annual savings through AWS Cost Explorer optimization audits.
Deployed multi-account AWS infrastructure with Terraform (VPC, IAM, ECS, RDS, S3, Route53, ALB, WAF) and enforced security using SCPs and GuardDuty to enhance compliance and security posture.
Implemented HashiCorp Vault for dynamic token rotation and established full-stack observability with Prometheus, Grafana, and OpenTelemetry to monitor app metrics and optimize AWS PySpark cluster performance.
Automated workflows for packaging and deploying AWS PySpark application scripts and dependencies into JFrog Artifactory, streamlining release cycle for analytics teams and reducing time to market.
DevOps Engineer (Project #4: System Integrated Information)
Tech Mahindra
09.2022 - 07.2024
Designed and managed automated deployment pipelines using Jenkins and Docker, resulting in a 50% reduction in production deployment times.
Provisioned cloud resources for AWS PySpark ETL tasks, managing data lake access policies and partitioning strategies on AWS S3 to enhance data processing efficiency.
Built and maintained custom, reusable Terraform modules for VPC, EKS, RDS, and IAM, improving resource standardization by 30% across dev, QA, and production.
Configured Kubernetes RBAC policies and cloud IAM roles, implementing centralized logging with ELK stack to secure and streamline log capture for container and analytical outputs.
Orchestrated blue-green deployments and zero-downtime rollouts with Kubernetes ingress controls and service mesh configurations, ensuring high availability during updates.
DevOps Engineer (Project #3: System Integrated Information - Client: Capital Group)
Tech Mahindra
09.2022 - 07.2024
Developed automated pipelines for provisioning temporary test clusters, enabling data analytics teams to validate AWS PySpark configurations efficiently.
Implemented SonarQube quality gates into Jenkins pipelines to enforce strict code quality and security thresholds before environment promotion.
Integrated Slack and Microsoft Teams alerts with Jenkins pipelines and CloudWatch, providing real-time notifications of build failures and infrastructure spikes to enhance team response.
Co-led audits using AWS Security Hub, Compute Optimizer, and Kube-cost to identify and eliminate underutilized cloud resources.
Administered multi-tier applications leveraging AWS services including EC2, S3, IAM, VPC, ECS, CloudWatch, and Systems Manager.
Configured local and staging environments for testing containerized AWS PySpark jobs with S3 connectivity and IAM instance profile restrictions to support cloud scaling.
Documented and executed complete AWS EKS cluster version upgrades from 1.21 to 1.24 with zero downtime.
Developed multi-stage Jenkins pipelines for continuous integration and delivery, integrating automated testing suites to ensure reliable deployments in staging and production.
Oversaw daily data center and cloud operations, ensuring seamless software installations, timely patches, efficient file system management, and maximizing system uptime.
Managed user accounts, configured SSH key-based authentication, enforced file system quotas, and secured remote file transfers via SCP.
Configured and optimized Apache Tomcat web servers, implementing automated real-time backup strategies to safeguard data integrity.
Developed and maintained custom Bash shell scripts, automating system sanity checks and streamlining log rotations to enhance operational efficiency.
Tools: Linux (RHEL/CentOS), Apache, Tomcat, Git, GitHub, Shell Scripting, RPM/YUM
Education
Graduation -
University of Madras
Chennai
Skills
Microservices Architecture
Continuous integration
Kubernetes orchestration
Cloud services
Ansible configuration
ELK monitoring
GIT version control
Maven management
SonarQube, Terraform
Agile Methodologies
Containerization
Cloud computing
Team collaboration
Vendor collaboration
Infrastructure security
DevOps lifecycle
Issue resolution
Infrastructure oversight
Timeline
DevOps Tech Lead (Project #6: Enterprise Platform & Big Data Modernization)
Wipro
10.2025 - Current
Senior DevOps Engineer (Project #5: Netdose)
Thermo Fisher Scientific, Inc.
08.2024 - 09.2025
DevOps Engineer (Project #4: System Integrated Information)
Tech Mahindra
09.2022 - 07.2024
DevOps Engineer (Project #3: System Integrated Information - Client: Capital Group)
<ul><li>Roles and Responsibilities</li><li>Hiring and team building</li><li>Managing team’s career progression and performance reviews</li><li>Managing Performance improvement plan and firing</li><li>Mentoring</li><li>Product roadmap planning and execution</li><li>Accountability of the entire delivery execution including the risk mitigation planning.</li><li>Stakeholder management</li><li>Adhering to Apple Privacy and Security Guidelines for platform</li><li>Design and implementation of new architectures and solutions to manage all online services for AdXchange in Apple Ads.</li><li>Design and implementation of new architectures and solutions deliver Budget experimentation in Apple Ads</li><li>Design and implementation of new architectures and solutions to manage data for Ad Platform.</li><li>Creating and maintaining all the data and analytics and revenue pipelines for Ad Platforms</li><li>Driving the solution for data ingestions and data processing across Ad platform</li><li>Defining the Strategy for data governance and data access</li><li>Collaboration with business to deliver relevant data and insight for our strategy and decisions.</li><li>Managing storage, processing, copy/synchronization etc. appropriate to scale</li><li>Enabling machine learning and algorithm groups by proving them right frameworks and data</li><li>Advancing team’s design methodology and quality programming practices and evangelize those techniques across Ad platform.</li><li>Deliveries</li><li>Setup 8+ member team to design and deliver Budget Allocation and Budget experimentation.</li><li>Leading Ad Delivery services team, responsible for delivering various capabilities like query understanding, targeting, fraud etc.</li><li>Delivered and Lead Design for observability for budget, and data platform in Ad platform.</li><li>Setup 11+ members high performing team to handle various business needs such as analytics and micro services for Display Advertising as well as Data Platform</li><li>Instrumental in driving Data Platform throughout the SDLC from inception, design, development, testing and deployment.</li><li>Instilled a strong team culture of high-quality delivery by constructive feedback, cross collaboration, focus and motivation.</li><li>Delivered Realtime and Batch Platform with various integrations</li><li>Delivered new DIP design for Data Platform</li><li>Delivered design of all the components of Data processing platform</li><li>Transitioned Display data work to India seamlessly and delivered many critical business impacting features and organizational security initiatives.</li><li>Closely worked with various stakeholders to understand the requirements which resulted into efficient remote work culture.</li><li>Seamless Display execution and set up best practices for 24X7 production on-call.</li><li>Tools and Technologies</li><li>AWS, S3, Kafka, Spark, Hadoop, EMR, Hive, Scoop, Flume, Cassandra, Airflow, Oozie, Gobblin, Schema Store, Icloud, Grafana, Kubernetes, Vertica, Alation, snowflake, druid, Iceberg, Java, Scala, IntelliJ, Oracle, MySql, Git, RIO, Spinnaker, Elastic cache, Grpc, Agile.</li></ul> at Apple - Adplatform<ul><li>Roles and Responsibilities</li><li>Hiring and team building</li><li>Managing team’s career progression and performance reviews</li><li>Managing Performance improvement plan and firing</li><li>Mentoring</li><li>Product roadmap planning and execution</li><li>Accountability of the entire delivery execution including the risk mitigation planning.</li><li>Stakeholder management</li><li>Adhering to Apple Privacy and Security Guidelines for platform</li><li>Design and implementation of new architectures and solutions to manage all online services for AdXchange in Apple Ads.</li><li>Design and implementation of new architectures and solutions deliver Budget experimentation in Apple Ads</li><li>Design and implementation of new architectures and solutions to manage data for Ad Platform.</li><li>Creating and maintaining all the data and analytics and revenue pipelines for Ad Platforms</li><li>Driving the solution for data ingestions and data processing across Ad platform</li><li>Defining the Strategy for data governance and data access</li><li>Collaboration with business to deliver relevant data and insight for our strategy and decisions.</li><li>Managing storage, processing, copy/synchronization etc. appropriate to scale</li><li>Enabling machine learning and algorithm groups by proving them right frameworks and data</li><li>Advancing team’s design methodology and quality programming practices and evangelize those techniques across Ad platform.</li><li>Deliveries</li><li>Setup 8+ member team to design and deliver Budget Allocation and Budget experimentation.</li><li>Leading Ad Delivery services team, responsible for delivering various capabilities like query understanding, targeting, fraud etc.</li><li>Delivered and Lead Design for observability for budget, and data platform in Ad platform.</li><li>Setup 11+ members high performing team to handle various business needs such as analytics and micro services for Display Advertising as well as Data Platform</li><li>Instrumental in driving Data Platform throughout the SDLC from inception, design, development, testing and deployment.</li><li>Instilled a strong team culture of high-quality delivery by constructive feedback, cross collaboration, focus and motivation.</li><li>Delivered Realtime and Batch Platform with various integrations</li><li>Delivered new DIP design for Data Platform</li><li>Delivered design of all the components of Data processing platform</li><li>Transitioned Display data work to India seamlessly and delivered many critical business impacting features and organizational security initiatives.</li><li>Closely worked with various stakeholders to understand the requirements which resulted into efficient remote work culture.</li><li>Seamless Display execution and set up best practices for 24X7 production on-call.</li><li>Tools and Technologies</li><li>AWS, S3, Kafka, Spark, Hadoop, EMR, Hive, Scoop, Flume, Cassandra, Airflow, Oozie, Gobblin, Schema Store, Icloud, Grafana, Kubernetes, Vertica, Alation, snowflake, druid, Iceberg, Java, Scala, IntelliJ, Oracle, MySql, Git, RIO, Spinnaker, Elastic cache, Grpc, Agile.</li></ul> at Apple - Adplatform