About
Highly accomplished AWS Cloud Engineer with over 8 years of expertise in designing, deploying, and optimizing scalable cloud infrastructures and robust DevOps pipelines. Proven ability to drive efficiency gains and cost reductions through automation, data migration, and strategic integration of services like Power BI, enhancing real-time decision-making. Adept at implementing advanced monitoring, security, and machine learning workflows, consistently delivering high-performance, compliant, and cost-effective cloud solutions.
Work
Gurugram, Haryana, India
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Summary
Led the design, deployment, and optimization of AWS cloud infrastructure and DevOps pipelines, integrating Power BI for enhanced data-driven decision-making and operational efficiency.
Highlights
Automated ETL processes using AWS Glue, reducing data processing time by 40% and operational costs by 20%.
Designed and deployed a Power BI dashboard via AWS Lambda, boosting executive decision-making efficiency by 15% through real-time operational metrics.
Enhanced data accessibility by successfully migrating over 30 TB of MySQL data from on-premises to AWS Cloud.
Integrated Prometheus and Grafana into cloud-native monitoring pipelines, improving observability and performance metric visualization across Kubernetes environments.
Reduced application deployment time by implementing a fully automated CI/CD pipeline using CodePipeline and CodeBuild.
Implemented AWS security best practices and row-level security in Power BI, safeguarding sensitive data and ensuring compliance.
Automated machine learning workflows with Amazon SageMaker Pipelines, streamlining model deployment and reducing time-to-market.
Gurugram, Haryana, India
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Summary
Optimized cloud infrastructure and deployment processes, leading efforts in containerization, scalability, and maintaining high availability for critical enterprise systems.
Highlights
Managed over 20 ECS/EKS clusters on AWS, significantly enhancing infrastructure scalability and performance.
Containerized over 15 monolithic workloads, successfully transitioning to microservices for enhanced application scalability.
Guided 3 development teams on containerization best practices, significantly improving adoption rates across the organization.
Created task definitions and CloudFormation stacks for over 10 Rest-APIs, enhancing deployment efficiency and automation.
Maintained optimum performance and high availability for over 5 container orchestration platforms, ensuring zero downtime.
Ensured compliant and structured cloud deployments across 2 enterprise setups through AWS Control Tower.
Streamlined deployments by recreating AWS CloudFormation templates for custom VPC, Subnets, and NAT configurations, ensuring successful deployment of web applications and database templates.
Gurugram, Haryana, India
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Summary
Analyzed and optimized cloud infrastructure workflows, focusing on network configuration, security, cost efficiency, and performance monitoring for robust operations.
Highlights
Utilized AWS Auto Scaling to dynamically adjust resources based on demand, resulting in 20% cost savings during peak traffic.
Optimized cloud resource usage and performance by leveraging AWS Cost Explorer, Trusted Advisor, CloudWatch, CloudTrail, and AWS Config.
Configured core AWS networking services (Route53, ELB, firewalls, route tables) and updated IAM policies to ensure secure and compliant cloud operations.
Gurugram, Haryana, India
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Summary
Provided comprehensive technical support for business users, resolving incidents, managing problems, and optimizing system efficiency to ensure seamless operations.
Highlights
Monitored and ensured timely closure of priority tickets by adhering to SLAs, effectively managing escalations for maximum operational efficiency.
Managed incidents and problems, conducting root cause analyses and updating a comprehensive knowledge base for future issue resolution.
Provided technical support for business users, including office setup, license verification, software configuration, and system migrations to upgraded versions.
Resolved high-priority incidents and problems by collaborating effectively with Level-2/3 support teams and incident managers.
Skills
Cloud Platforms
AWS, EC2, ECS, EKS, Lambda, Route53, ELB, VPC, Subnets, NAT, AWS Control Tower.
DevOps & CI/CD
Ansible, CI/CD Pipeline, DevOps, Docker, Git, Jenkins, Kubernetes, Prometheus, Terraform, CodePipeline, CodeBuild.
Data Management & BI
DynamoDB, SQL, MySQL, Power BI, AWS Glue, Amazon QuickSight, ETL.
Monitoring & Observability
Grafana, Prometheus, CloudWatch, CloudTrail, AWS Config.
Automation & Scripting
Shell, Python.
Project & Service Management
Project Management, ServiceNow.
Machine Learning Operations
Amazon SageMaker Pipelines.
Security & Compliance
IAM, Row-Level Security, AWS Security Best Practices.
Professional Development
Insights Discovery, Crucial Conversations, SLII Self Leadership, PROSCI - Change Management.