SUMMARY

• 3+ years of Experience in the IT industry comprising of Software Configuration Management (SCM). Extensive experience includes SCM, DevOps Build/Release Management, Change/Incident Management and Cloud Management AWS.
• Experienced in working on DevOps/Agile operations process and tools area (Code review, unit test automation, Build & Release automation, Environment, Service, Incident and Change Management).
• Expertise in writing Python scripts for software build conduct and management support.
• Expertise in AWS cloud services such as EC2, S3, ELB, Auto scaling, EBS, RDS, VPC, Subnets, Security Groups, Elastic IP, Internet Gateway, Route Tables, Route53, CloudWatch, IAM, SQS, SNS, SES and Azure for IaaS, PaaS, SaaS, Cost Explorer etc.
• Experience in creating AWS CloudFormation Templates for all kind of AWS service to automate the process.
• In - depth understanding of the principles and best practices of Software Configuration Management (SCM) processes, which include compiling, packaging, deploying and Application configurations.
• Expertise in writing Python scripts to automate the service from lambda process through API Gateway.
• Worked with IAM service creating new IAM users, groups, defining roles and policies and Identity providers.
• Created alarms and trigger points in Cloud Watch based on thresholds and monitored the server performance, CPU Utilization, disk usage.
• Experience in planning, designing, consulting, Implementation & technical skills in areas of AWS cloud, Windows and Linux.
• Expertise in using source code control system such as GIT, SVN.
• Experience in Administration of Production, Development and Test environment's carrying Windows, Linux.
• Experienced Python code to initiate test in multiple test executors, collect reports, parse and generate test reports.
• Experience working with databases like Amazon RDS and Redshift carried out functionalities for creating instances as per the requirements.
• Expertise includes bash and python scripting with focus on DevOps tools, CI/CD Architecture
• Good in Fast learning, Analytical considering, basic leadership and critical thinking abilities.
• Hardworking attitudes, self-persuaded, speedy learner and group situated.
• Ability to solve complex problems in a simpler way.

TECHNICAL SKILLS

SCM Tools: Subversion, GIT, Stash (Bitbucket)

CI/CD Tools: Jenkins, AWS Code pipeline.

Build Tools: Ant.

Virtualization: Amazon Web Services EC2, Docker.

SDLC: Agile, Scrum.

Languages: Python, Basic concepts of Java

Scripts: Bash

Web/App servers: Apache Tomcat, NGINX

DB: SQL, PostgreSQL

PROFESSIONAL EXPERIENCE

Confidential, San Francisco, CA

AWS/PYTHON DEVELOPER

Responsibilities:

• Developed API’s with Lambda and API gateway for executive dashboards app to serve UI requests for Electronic health records by querying the RDS PostgreSQL DB.
• Created custom domain for API gateway and configured with VPC endpoint and load balancer.
• Created webhooks to get notified when new files get upload to the UI and automated antivirus scanning process.
• Developed Django view and created API’s with CLAMAV Daemon to scan the file uploaded to UI.
• Built docker images for CLAMAV with supervisor and deployed on to ECS.
• Written python scripts to scan the Electronic health records in s3 bucket for detecting the Personal Health Information using DATAGUISE.
• Written boto3-python scripts to move files from one account to another account.
• Created AWS Lambda function using python and boto3 to migrate the RDS database snapshots.
• Designed application backend to authorize users against AD (Active Directory) utilizing Python on Django Web Framework.
• Implemented Amazon RDS Multi-AZ for automatic failover and high availability at the database tier.
• Created glue crawlers and crawled csv file from s3 and loaded into Athena.
• Written CloudFormation script to provide automated infrastructure.

Environment: AWS (S3, EC2, ELB, Cloud Trail, Cloud Formation, Cloud Watch, IAM, SNS, RDS, REDSHIFT, Route 53), Linux, Python, Django, Windows, GIT.

Confidential, Pleasanton, CA

AWS DEVELOPER

Responsibilities:

• Developed Python code to periodically survey the resources in AWS.
• Programmed Django models to persist the data in database for report generation.
• Created & Maintaining AWS simple Active Directory to control the users and groups for a web-based application.
• Programmed backend python program to create users/groups and create endpoint through Django framework to authenticate them.
• Involved in migrations and automation of Linux based servers (CentOS, RHEL, Ubuntu) and windows-based servers (2008R2, 2012R2) from on-premises to cloud platforms such as AWS.
• Wrote python scripts to spin up the instances in AWS EC2 and Ops-Works stacks and integrated with Auto scaling to automatically spin up the servers with configured AMIs.
• Working on creating a Continuous Delivery CI pipeline with AWS Code Pipeline to automate builds with AWS Code Build.
• Performed CI/CD automation using Code Commit, Code Build, Code Deploy, Docker.
• Performed and managed the environment related configuration changes as a part of deployment.
• Installed Red Hat Linux 5.2 on Dell, Linux Enterprise Server Machine E20 Enterprise Server (Sun Solaris)
• Configured migration of data from on-premise data centers to AWS using python and ec2 instance.

Environment: AWS (S3, EC2, ELB, Cloud Trail, Cloud Formation, Cloud Watch, Cloud Front, IAM, SNS, RDS, Route 53), Linux, Python, Django, Windows, LDAP, GIT.

Confidential, Pleasanton, CA

AWS CLOUD ENGINEER

Responsibilities:

• creation and management, setting file permissions, customizing shell environment setup for users.
• Working with AWS services like EC2, S3, VPC, ELB, Autoscaling Groups, Route 53, IAM, CloudTrail, CloudWatch, CloudFormation, CloudFront, SNS, and RDS.
• Working with configuration management tools like Ansible and CI/CD tool Jenkins.
• Set up and built AWS infrastructure with various services available by writing cloud formation templates in Json, yaml.
• With the help of IAM created roles, users and groups and attached policies to provide minimum access to the resources.
• Creating topics in SNS to send notifications to subscribers as per the requirement.
• Implementing Amazon RDS multi-AZ for automatic failover and high availability at the database tier.
• Creating CloudFront distributions to serve content from edge locations to users to minimize the load on the frontend servers.
• Used GIT for version control and project management tools like JIRA.
• Configuring AWS CLI and performed necessary actions on the AWS services using shell scripting.
• Implementing Cloud Trail in order to capture the events related to API calls made to AWS infrastructure using BOTO3.
• Enabling Continuous Delivery through Deployment into several environments of Test, QA & Production using Jenkins.

Environment: AWS (S3, EC2, ELB, Cloud Trail, Cloud Formation, Cloud Watch, Cloud Front, IAM, SNS, RDS, Route 53), Linux, Jenkins, Shell/Bash scripting, Python, GIT.

Confidential

JUNIOR CLOUD ENGINEER

Responsibilities:

• Experience in Linux/AWS services specifically in installation, maintenance, configuration and monitoring efficiently to achieve organizational goals.
• Involved in designing and deploying multitude applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS CloudFormation.
• Automated manual tasks using Shell scripting.
• Worked on creating the cloud formation scripts, setting up the VPC (public and private subnets), EC2 instances, ELB, ASG and IAM modules.
• Written Cloud formation templates and deployed AWS resources using it.
• Hands on experience in monitoring EC2 instances using Cloud Watch. Worked closely with EC2 infrastructure teams to troubleshoot complex issues.
• Utilized Cloud Watch to monitor resources such as EC2, CPU memory, Amazon RDS DB services, Dynamo tables, EBS volumes to set alarms for notification or automated actions; and to monitor logs for a better understanding and operation of the system.

Environment: AWS services like S3, EC2, ELB, Cloud Trail, Cloud Formation, Cloud Watch, Cloud Front, IAM, SNS, RDS, Route 53 and Linux.