SUMMARY

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Cloud/DevOps Engineer skilled in optimizing software development processes and infrastructure. Proficient in Docker, Kubernetes, Terraform, CI/CD, and cloud platforms like AWS, GCP, and Azure. Experience in automating workflows, improving system reliability, and performance.

SKILLS

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Infrastructure: Helm, Docker, Terraform
CI/CD Tools: Jenkins, GitLab, GitHub Actions, AWS CodePipeline, GCP Cloud Build
Compute: Cloud Functions, Lambda, EC2, ECS, Compute Engines, Cloud Run, App Engine, Kubernetes
Data Processing:Cloud Pub/Sub, BigQuery, Dataproc
Storage: S3, Cloud Storage, Cloud SQL

WORK EXPERIENCE

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• Improved cloud security by enforcing fine-grained control through Cloud IAM roles and permissions.
• Optimized cloud usage and performance, achieving a 30% reduction in cloud bill.
• Redesign cloud architecture to identify unused resources, achieving cost efficiency.
• Orchestrated infrastructure deployment using Terraform, ensuring scalability and maintainability.
• Documented existing cloud infrastructure, enhancing transparency and facilitating seamless collaboration.
• Implemented pods autoscaling based on diverse resource metrics, to meet application demands needs.
• Automated code deployment on Google Kubernetes Engine through Helm charts, building GitHub Actions pipelines to run on different environments streamlining the release process.

• Implemented agile methodologies and code reviews to achieve production-grade quality and efficiency.
• Built scalable data pipelines using Google Cloud Functions on Python for multi-source data extraction.
• Utilised Cloud Pubsub as alternative to Kafka for triggering data pipeline actions.
• Implemented data processing and transformation procedures to improve developer productivity.
• Utilized Google Cloud Storage as a reliable data lake for efficient storage of raw data.
• Created tables and schemas in BigQuery, facilitating efficient querying and interactive data exploration.
• Used Terraform and built CI/CD pipelines on GitHub Actions for deployment of Cloud resources.
• Managed on premises Kubernetes cluster integrated with GitLab for execution of pipelines
• Migrated applications from cloud VM to Kubernetes reducing costs and improving scalability by 25%.
• Streamlined application deployment through Helm Charts, resulting in faster and more effective management of Kubernetes applications.

• Implemented Infrastructure-as-Code (IaC) using AWS Cloud SDK for application deployment.
• Build a serverless backend on AWS Lambda integrating AWS API Gateway for routing request.
• Streamlined CI/CD workflows using AWS CodePipeline, reducing deployment time by 50%.
• Demonstrated proficiency in quality assurance by writing test cases and performing code reviews.
• Configured AWS CloudWatch alerts to monitor application traffic, demonstrating proficiency in application performance optimization.

• Created Odoo applications to facilitate data migration between various ERP systems.
• Customized modules to match business needs, optimizing data flow and integration processes.
• Practiced agile methods for incremental development, achieving efficiency in project delivery.
• Conducted thorough manual testing to ensure robustness and accuracy, minimizing potential bugs.
• Delivered technical guidance to clients, explaining how data flow process works within Odoo apps.

• Developed an AI application hosted on Azure Web App for real-time anomaly detection in sewer pipeline.
• Utilized Azure Custom Vision for training computer vision model to detect anomalies like cracks etc.
• Integrated Azure Blob Storage to store images processed by AI model for data handling and scalability.
• Managed project execution using Azure DevOps, creating epics, stories, and task on Azure Boards.
• Conducted sprint planning and retrospectives, achieving continuous improvement in workflow efficiency.

CERTIFICATIONS

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EDUCATION

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