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Aws Cloud Engineer Resume

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Oakland, CA

SUMMARY

  • Dynamic, innovative, skilled and experiencedPython Developer around 5+in IT industry with Python and Cloud computing infrastructure such as Amazon Web Services (AWS).
  • Administration of correct account creations, permissions, and privileges based on customer's roles and groups.
  • Designed, configured and deployed Amazon Web Services (AWS) for a multitude of applications utilizing the AWS stack (Including EC2, Route53, S3, RDS, Cloud Formation, Cloud Watch, SQS, IAM), focusing on high - availability, fault tolerance, and auto-scaling.
  • Excelled on creating AMI (AWS Machine Images) that utilizes ELB (Elastic Load Balancer) and Auto Scaling. That Auto Scaling fired up new resources those will by default bootstrapped with the Chef Server.
  • Experience with AWS Toolkit for Eclipse for deploying Lambda projects, Elastic Beanstalk Environment projects and DynamoDB projects etc.
  • Implemented responsive web pages using HTML5/CSS3, Bootstrap and XML/JSON based SOAP and REST web services.
  • Expertise in Production support and Knowledge of deployment using Heroku and Jenkins.
  • Wrote Junit test cases for unit, integration, and functional tests, run automatically by Hudson/Jenkins in the builds triggered by each push to GIT.
  • Experience working in both water fall and agile software methodologies.
  • Extensive experience in architecting and configuring secure VPC through private and public networks in AWS and NAT instances.
  • Experience with creation of rules for ACL to limit access to servers and inbound and outbound traffic to servers.
  • Troubleshoot AWS EC2 Status check including System Status checks and Instance Status check alerts.
  • Configured and Managed Elastic Load Balancing (ELB) to avoid fault tolerance and avoid single point of failure of applications, hence provide high availability and network load balancing.
  • Experienced in Administration of Production, Development, stage and Test environment's carrying on Windows, Ubuntu, Red Hat Linux, SUSE Linux, Centos and Solaris servers.
  • Good Knowledge in developer tools like Code Commit, Code Build, Code Deploy, and Code Pipeline
  • Good understanding of AWS Elastic Block Storage (EBS), various volume types and utilization of different types of EBS volumes based on requirement.
  • Strongly experienced in debugging disparities in HTTPD proxy configuration while deploying various versions of application. Even created backup for production environment like Blue/Green environment.
  • Experienced in developing Web Services withPythonprogramming language.
  • Experience inPythonOpenStack API'S.
  • Experienced in developing API services inPython /Tornado, Node.JS while leveraging AMQP and RabbitMQ for distributed architectures.
  • Good experience of software development inPython (libraries used: libraries- Beautiful Soup, Numpy, Scipy, matplotlib,Python - twitter, Pandas data frame, network, urllib2, MySQL for database connectivity) and IDEs - sublime text, Spyder, pycharm, Eclipse, emacs.

TECHNICAL SKILLS

Programming Languages: Windows Power shell, python, VBS, C,C++.

Web Technologies: HTML, CSS, DOM, XML, KML, AJAX, JQuery, JSON.

Frameworks: Django, Pyramid, Flask, Angular JS, CSS Bootstrap, Struts, Springs, Hiberante.

Container Deployments: uDeploy, Docker, Serena.

Application Servers: HTTP web server, Apache Tomcat, WebLogic Server, WebSphere.

IDE's/Development: NetBeans, Pycharm, Pyscripter, PyDev for Eclipse. J2EE Technologies - JDBC, Servlets and JSP.

Databases: Oracle (8i, 9i,10g, 11g), Apache Cassandra, MongoDB, MySQL, MSSQL Server.

Analytic tools: Adobe CQ, Google Analytics Fiddler.

Cloud Computing: VPC, EBS, S3, RDS(My SQL), AWS EC2 .

Issue Trackers: Bugzilla, JIRA, JUnit.

Operating Systems: Windows, Red Hat Linux, Ubuntu, Debian, CentOS and Mac OSX.

Protocols: SOAP, TCP/IP, HTTP/HTTPS.

Version Control: SVN, CVS,Git.

PROFESSIONAL EXPERIENCE

Confidential, Oakland, CA

AWS Cloud Engineer

Responsibilities:

  • Designed virtual and hybrid IT environments using Amazon Web Services.
  • Extensively used IAM feature, created users, groups and roles for access and provisioning.
  • Created Simple Storage Services (S3) buckets for data storage, implemented versioning for protection and Life-Cycle Management to conserve costs and for data archival in Glacier.
  • Designed networks using Virtual Private Cloud (VPC) feature with and without wizards.
  • Created public and private subnets in different availability zones and configured Security Groups and NACL.
  • Designed Elastic Load Balancing (ELB) with auto-scaling to address traffic and failover/DR issues.
  • Created snapshots of EC2 volumes and Amazon Machine Images (AMI) from those snapshots.
  • Deployed Cloudera Hadoop Cluster on AWS platform for Big Data Analysis.
  • Worked on installation of DockerusingDockertoolbox.
  • Worked on creation of custom Docker container images, tagging and pushing the images.
  • Developed the configuration Scripts in Node.JS, mark logic RESTAPI and Management API
  • Added dynamic functionality to the application by implementing JQuery, Node.js.
  • Modularized front end CSS and Node JS code with Sass.
  • Built a real time mouse/click user analytics web service with Node.js.
  • Worked on CreatingKafkaAdaptors for decoupling the application dependency.
  • Load tested to test the performance ofKafkaand JMS and compare stats.
  • Used Putty as the administrating cloud environment and as script editor.
  • Created DynamoDB tables and indexes.
  • Produced RDS backups and snapshots.
  • Generated Cloud Formation scripts to deploy AWS resources and network.
  • Implemented Cloud Watch alarms and alerts.
  • Helped students in learning and understanding AWS.

Environment: Amazon Web Services, IAM, S3, EC2, VPC, cloud watch, Nix, ANT, Maven, Tortoise SVN, GitHub, Chef, Puppet, Agile, Apache HTTPD, JBoss, Junit, Cucumber, Json, Bash, Shell, Perl, Python, PHP, Ruby.

Confidential -Houston, TX

AWS Cloud Engineer

Responsibilities:

  • Build and configure a virtual data center in the Amazon Web Servicescloudto support Enterprise Data Warehouse hosting including Virtual PrivateCloud(VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer.
  • Implemented automated local user provisioning instances created inAWScloud.
  • Implemented Restful Web-Services for sending and receiving the data between multiple systems.
  • Set up test procedures of application amenabilities to include ITIL practices in the PublicCloud.
  • BecameAWSproficient and understoodAWScloudprovisioning methods to deploy AMIs.
  • UtilizedAWSCloudwatch to monitor environment for operational & performance metrics during load testing.
  • Developed tools using python, Shell scripting, XML to automate some of the menial tasks.
  • Used Amazon IAM to grant fine grained access toAWSresources to users. Also managed roles and permissions of users toAWSaccount through IAM.
  • Maintained the user accounts (IAM), RDS, Route 53, VPC, RDB, Dynamo DB, SES, SQS and SNS services inAWScloud.
  • Responsible for automating CM toolsto implement CM policies and procedures.
  • Administer and maintain change, release, and configuration management tool.
  • Develop and implement an automated Linux infrastructure using Puppet.
  • Provided the assistance for the smooth phase of Release for the Emergency and Expedite Releases by getting the Director Level Approval and coordinating with different teams.
  • Developed & improved build communication, documenting build processes & procedures.
  • Worked with the infrastructure and development teams, participated in and validating technology decisions.

Environment: Worked on User administration setup, maintaining account, Ubuntu, Linux, Windows, EC2, Chef, Puppet, SWF, EBS RDS, Glacier, ELB, S3, Monitor system performance using Nagios and Tivoli using VERITAS Volume Manager 3.x/4.x,WinSCP,SSL, VERITAS Cluster Services, Cisco CNR, Send mail

Confidential

Python Developer

Responsibilities:

  • Worked on designing, coding and developing the application inPython using Django MVC.
  • Development of Python APIs to dump the array structures in the Processor at the failure point for debugging.
  • Used Pandas (Pythonlibrary) for Statistical Analysis.
  • Interactive in providing change requests, trouble reports and requirements collection with the client.
  • Worked on integratingPython with Web development tools and Web Services.
  • Developed Merge jobs inPythonto extract and load data into MySQL database.
  • Used Test driven approach for developing the application and Implemented the unit tests usingPythonUnit test framework.
  • Good hands on experience in data warehousedeveloper/ database engineer for high-volume data processing.
  • Involved in upgrading the present Oracle data model to Cassandra data model.
  • Providing support for Linux servers and workstations in Department of Physics.
  • Installing and configuring NIS servers to authenticate between Linux, Apple and Windows environments
  • Writing bash shell scripts on local setups to automate jobs
  • Designed front end using UI, HTML, CSS, and JavaScript.
  • Involved in the Complete Software development life cycle (SDLC) to develop the application.
  • Followed AGILE development methodology to develop the application.
  • Used Test driven approach (TDD) for developing services required for the application.
  • Implemented Integration test cases.

Environment: Python2.7, PyQT, .NET, PyQuery, MVW, HTML5, CSS3, DOM, Angular.js, Shell Scripting, JSON, Rest, Apache Web Server, Django, SQL, UNIX, Windows, PostgreSQL, andpython libraries such as Numpy, etc.

Confidential

Python Developer

Responsibilities:

  • Developed the application for data warehouse and business intelligence platform for dashboard reporting.
  • Ensure smooth data warehouse operations including ETL routines and delivery of canned reports, OLAP cubes and ad-hoc queries of Business and Marketing departments.
  • Developed a Front-End GUI as stand-alone Python application.
  • Debug application deployments on Multiple-levels
  • Trained and documented initial deployment and Supported product stabilization / debugging at the deployment stage.sdfiop
  • Used Django & Flask framework for API creation and application development.
  • Used private Git for the version control.
  • Wrote Python scripts for downloading files from 1000+ sites and Network nodes
  • Wrote Python script for validating external data after downloading
  • Extensive usage of SQL Profiler and Analytics for query optimization and maintenance
  • Raw Data Extraction, Cleaning, Transformation from 1000+ nodes in XML format
  • Wrote Stored Procedures in SQL and Scripts in Python for data loading
  • Involvement in software development Life cycle (SDLC) and participated in scrum meetings with team
  • Used Unit Test Python library for testing many programs on python and other codes.
  • Created a database using MySQL and wrote various queries for the extraction of data from the database.
  • Collaborated with team of QA to build and populate DB and to ensure the standards.
  • Implemented Restful Web-Services for sending and receiving the data between multiple systems.
  • Worked actively as a part of team with managers and other staff to meet the goals of the project in the stipulated time.

Environment: Python 3.4, Django, Java Script, HTML, Angular JS, JQuery, JSON, XML, CSS, MySQL, Bootstrap, Git, Linux, Eclipse.

Confidential

System Engineer

Responsibilities:

  • Installed and configured WebLogic Server 8.1 on Sun Solaris.
  • Deployed WARS and EARS using WebLogic Admin Console as well as running scripts.
  • Focal point for project design and architecture for WebLogic Application server layout, which includes Internet and Intranet Web Sites.
  • Developed BEA WebLogic Application Server regular administration tasks scripts.
  • Actively involved in monitoring server performance, network traffic to reduce performance bottleneck by enhanced performance ensuring upstream queuing.
  • Configured the Web Server interfaces, session management, virtual hosts and transports for BEA WebLogic Application Servers.
  • Create the Data Source, Connection Pool and test the Connection to connecting the DB or Not.
  • Creating the User, Groups and Provide the Global Roles for that Groups or Users.
  • Create the Connection Pool and Data Source for Connecting the Oracle Database.
  • Involved in bridge calls for troubleshooting.
  • Created scripts to deploy applications from command line and automate log archiving.

Environment: BEA WebLogic Server 8.1 SP4, Solaris, Windows 7, Oracle11g, SQL Server 2000.

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