Cloud DevOps Engineer
ThinkAnalytics · Full-time
Mar 2025 – Presentcurrent
Cloud DevOps Engineer focused on designing, automating and operating AWS cloud infrastructure, with hands-on experience in Kubernetes, Terraform, CI/CD, monitoring and application reliability. Builds scalable infrastructure and automation solutions that improve deployment efficiency, system resilience and operational performance.
$ cat responsibilities
- Delivered cloud-native deployment solutions for 20+ enterprise customers, developing and deploying applications across AWS environments while collaborating with cross-functional teams to ensure reliable and scalable releases.
- Migrated traditionally deployed services to containerized Kubernetes workloads, implementing automated deployment, failover, scaling and multi-layer security across staging and production environments.
- Transformed 100+ static CloudFormation scripts into modular Terraform code, reducing infrastructure provisioning time by 60% and improving deployment consistency.
- Designed an AI-based predictive scaling architecture to dynamically optimize infrastructure capacity based on application usage patterns, with a projected ~15% reduction in infrastructure costs during peak workloads.
- Developed and deployed feature enhancements for multiple customers in production environments, coordinating application changes, configuration updates, testing and release activities to improve deployment efficiency.
- Automated and optimized system health monitoring and AWS CloudWatch configurations, implementing proactive alerting and infrastructure capacity improvements across compute, disk and memory resources.
- Streamlined Terraform-based infrastructure deployments, reducing manual provisioning and configuration activities by 40% and improving consistency across environments.
- Worked extensively with AWS, Kubernetes, Terraform, CloudWatch and containerized application environments to build, deploy, monitor and maintain scalable cloud infrastructure.
$ cat achievements
- Deployed and maintained 20+ enterprise customers in production environments.
- Reduced downtime incidents by approximately 25% through proactive alert handling.
- Reduced manual intervention in Terraform deployments by approximately 40%.
- Designed predictive scaling architecture projected to reduce peak infrastructure costs by approximately 15%.
- Migrated services toward Kubernetes-based deployments for automated failure management and improved security.
- AWS
- Kubernetes
- Terraform
- Docker
- CloudWatch
- Jenkins
- Linux
- Python
- Shell
Cloud COE Engineer / DevOps Engineer
Avis Budget Group · Full-time
Oct 2023 – Feb 2025
Cloud DevOps engineering role focused on AWS infrastructure automation, Kubernetes, multi-region deployments, Infrastructure as Code, CI/CD and service mesh technologies across Fleet Data Platform and Customer Data Platform environments.
$ cat responsibilities
- Engineered and automated AWS infrastructure workflows for Fleet Data Platform and Customer Data Platform environments.
- Automated service lifecycle management through JumpBox-based workflows and implemented automatic secret key rotation for cloud services.
- Transformed 100+ static CloudFormation scripts into modular Terraform infrastructure, improving scalability, maintainability and deployment consistency.
- Designed and maintained Jenkins pipelines integrating Terraform and CloudFormation to automate AWS infrastructure operations and deployments.
- Created automated deployment scripts for multi-region application environments, significantly reducing environment setup time.
- Deployed and maintained Kubernetes clusters across two AWS regions to provide service redundancy and improve application resilience.
- Implemented service mesh access-control, failover and outlier-detection policies to improve reliability across distributed environments.
- Managed cross-region service mesh traffic and migrated ingress routing from Istio to Gloo Mesh Route Tables to optimize traffic flow.
$ cat achievements
- Eliminated approximately 15 hours per week of manual coordination through service lifecycle and secret rotation automation.
- Transformed 100+ static CloudFormation scripts into modular Terraform code, reducing infrastructure provisioning time by approximately 60%.
- Automated AWS infrastructure operations through Jenkins pipelines, reducing execution time by approximately 70%.
- Achieved approximately 90% reduction in multi-region environment setup time through automated deployment scripts.
- Improved service redundancy by deploying Kubernetes clusters across two AWS regions and reduced downtime risk by approximately 40%.
- Improved system reliability by approximately 35% through service mesh access control, failover and outlier-detection policies.
- Optimized cross-region traffic management by migrating ingress routing from Istio to Gloo Mesh Route Tables.
- AWS
- Kubernetes
- EKS
- Docker
- Terraform
- CloudFormation
- Jenkins
- Istio
- Gloo Mesh
- Helm
- Python
- Shell
- Linux
- S3
- IAM
- Secrets Manager
Programmer Analyst Trainee
Cognizant · Full-time
Mar 2023 – Oct 2023
Worked on Digital Dashboard Transformation for Otsuka Pharmaceuticals, focusing on data migration, SQL optimization and Tableau dashboard validation.
$ cat responsibilities
- Migrated large datasets into Tableau using optimized SQL queries.
- Validated and enhanced Tableau dashboards for reporting accuracy.
- Analyzed data quality and resolved migration and visualization issues.
- Worked with SQL-based data extraction and transformation workflows.
$ cat achievements
- Improved data integrity and reduced migration errors by approximately 20%.
- Achieved 100% visualization accuracy across validated dashboards.
- Reduced reporting errors by approximately 30%.
Data Warehousing Intern
Cognizant · Internship
Mar 2022 – Jun 2022
Worked on data processing and ETL workflows using PySpark, Hive, Hadoop and Informatica, along with Python, SQL and shell scripting.
$ cat responsibilities
- Built PySpark, Hive and Hadoop workflows for data processing.
- Developed ETL pipelines using Informatica PowerCenter.
- Authored shell scripts for automation and data-processing workflows.
- Developed SQL, Python, NumPy and Pandas solutions for data analysis.
$ cat achievements
- Improved data processing efficiency by approximately 25%.
- Reduced ETL load time by approximately 30%.
- Authored 50+ shell scripts.
- Completed 150+ SQL, Python, NumPy and Pandas solutions.
- Improved data analysis throughput by approximately 40%.
- PySpark
- Hive
- Hadoop
- Informatica PowerCenter
- Python
- SQL
- Shell
- NumPy
- Pandas