SUMMARY

• A Cloud enthusiastic IT Professional with referable expertise in software requirement analysis, architect, design, coding and development, deployment and production support of object oriented multi - tier Internet and Intranet applications.
• Thorough in all Phases of Software Development Life Cycle (SDLC), Source Control Management (SCM), Continuous Integration (CI), Continuous Deployment (CD) and Release Management.
• Highly skilled on AWS Cloud services like EC2, VPC, IAM, RDS, ELB, EMR, ECS, Auto - Scaling, S3, Cloud Front, Glacier, Elastic Beanstalk, Lambda, Elastic Cache, Route53, Ops Works, Cloud Watch, Cloud Formation, RedShift, Dynamo DB, SNS, SQS, SES, Kinesis Firehose, AWS Glue, Lambda and Cognito IAM.
• Experience in creating and utilizing tools to monitor applications and services in AWS cloud.
• Expert in automation of workflow for development teams to help engineer build a reliable, resilient and scalable software running in AWS.
• Proficient in Serverless Technologies like AWS Lambda to leverage the pay-for-value billing model so you never pay for over-provisioning and your resource utilization is optimized on your behalf.
• AWS Cloud Formation experience at an advanced level.
• Proficient in building web-based scalable and distributed cloud-native applications.
• Supported CI/CD tooling for technical teams to ensure that applications are built, deployed and monitored using pipelines.
• Proficient in scripting programming languages like Python, YAML, and JSON.
• In depth understanding and working knowledge of Front-End technologies (JavaScript, React JS, HTML, CSS).
• Strong experience with AWS Services; EC2, CloudFormation, VPC, ELB, AWS Security, S3, RDS, EBS, ECS.
• In depth understanding in architecting Disaster Recovery (DR) solutions in the Cloud.
• Proficient in programming, that includes Requirements gathering, Analysis, Designing Technical Design Document (TDD), Unit Test Plans (UTP), and performing Development testing like Unit, Integration, Regression and System testing.
• Versatile team player with excellent analytical, inter-personnel and presentation skill with ability to quickly adapt to new technologies & project environments.

TECHNICAL SKILLS

Methodologies: Agile & Scrum, Waterfall

AWS Services: Lambda, Kinesis, Route53, S3, EC2, Code Commit, Code Deploy, EBS, IAM, VPC, SNS, SQS

Languages: Python, NumPy, Pandas, JAVA, SQL, JavaScript, C/C++, AngularJS

Version Control/QA Tools: BitBucket

Languages/Test Driven: C/C++, UML, SQL, PL/SQL and Junit

Scripting: Bash, AWS CLI, Elastic Beanstalk CLI, JSON, YAML, GIT Bash, PuTTY, UNIX Shell Scripts (Ksh, Bash)

Containerization & IAC: Docker, AWS Cloud Formation, Elastic Bean Stalk

IDE’s: Eclipse 4.x, NetBeans 5.x/6.x, IntelliJ IDEA

Other Tools: Photoshop, SQL*Plus, Dreamweaver, MS Office Suite, MS Project, MS Visio, Rational Rose

Build Tools: Ant, Maven

Databases: Oracle, SQL Server, MySQL, Mongo DB, Dynamo DB, Aurora, MySQL, AWS Redshift

Operating Systems: Windows - 7/ XP /95/98/NT/2000, UNIX, Linux, RHEL 6.X/7.X

PROFESSIONAL EXPERIENCE

Confidential - Metairie, LA

AWS DevOps Cloud Engineer

Responsibilities:

• Setting up database in AWS using RDS, storage using S3 bucket and configuring instance backups to S3 bucket to ensure fault tolerance and high availability.
• Designed Airflow Pipelines to source the data from Mongo DB, Aurora, Postgres etc.
• Design and develop Amazon EC2, Amazon Aurora, Amazon S3, Amazon RDS, Amazon Elastic Load Balancing, Amazon SWF, Amazon SQS, and other services of the AWS infrastructure.
• Involved in maintaining the reliability, availability, and performance of Amazon Elastic Compute Cloud (Amazon EC2) instances.
• Responsible for monitoring the AWS resources using Cloud Watch and also application resources using Nagios.
• Worked on migration of On-Prem servers to Kubernetes in AWS Cloud
• Worked on Google Cloud Programming using Big Query, Bucket, Authentication
• Wrote JUnit Test Cases for the line of code to fix the bugs beforehand. Provided documentation.
• Created the module driven AWS infrastructure with Terraform
• Worked on complex SQL Queries for data validation, row count in source and target databases
• Worked on Jenkins file with multiple stages like checkout a branch, building the application, testing, pushing the image into GCP and deploying to QA3, deploying to QA9, Acceptance testing and finally Deploying to Prod
• Developed & implemented Software Release Management strategies for various applications according to the Agile Process.
• Wrote Cloud Formation Templates (CFT) in JSON format to build the GCP services with the paradigm of Infrastructure as a Code.
• Design and Develop fault-tolerant Microservices and RESTful APIs that enables developers interact with the web application.
• Worked
• CI/CD process implementation using Jenkins along with Python and Shell scripts to automate routine jobs.
• Performed all necessary day-to- day GIT support for different projects, Responsible for design and maintenance of the GIT Repositories, and the access control strategies.
• Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates
• Built S3 buckets and managed policies for S3 buckets and used S3 bucket and Glacier for storage and backup on AWS.
• Used Jenkins pipelines to drive all Micro Services builds
• Configured and maintained Jenkins to implement the CI process and integrated the tool with Maven to schedule the builds.

Confidential - New Orleans, LA

DevOps Cloud Engineer

Responsibilities:

• Developed and deployed Cloud Based Infrastructure on AWS.
• Set up CI/CD pipelines with DevOps tools such as GIT, AWS CodeCommit, AWS Code Build, Gradle Wrapper, AWS CodePipeline, Jenkins, Docker, Kubernetes, AWS Lambda and AWS CloudWatch for the automation of software delivery lifecycle.
• Automation of cloud infrastructure configuration and deployment using cloud Formation.
• Provisioning secure environment for AWS VPC network, and implement infrastructure as code using configuration management tools.
• Migration of customers' on-premises workloads(applications) to the AWS cloud platform.
• Design, develop and implement high availability, backup and recovery strategy for applications and database.
• Evaluate and improve existing AWS deployments.
• Automated workflow for development teams to help engineer a reliable, resilient and scalable Applications in AWS.
• Monitored AWS Cloud Infrastructure using CloudWatch events.
• Used AWS Lambda and CRONJOB to automate solutions.
• Monitored performance and maintained systems according to requirements
• Migrated on-prem servers to AWS cloud.
• Design and Develop fault-tolerant Microservices and RESTful APIs that enables developers interact with the web application.
• Developed, built and deployed multi-stack Serverless application using AWS CloudFormation.
• Provisioned and deployed cloud infrastructure using AWS CloudFormation.
• Extensively worked on frontend technologies - React JS, HTML, CSS to design web applications during project delivery.

Confidential - Kenner, LA

DevOps Cloud Engineer

Responsibilities:

• Implemented and setup AWS shield, AWS, config, Amazon Macie, and Amazon inspector for security and protection of sensitive data.
• Leverage AWS cloud services such as EC2, auto-scaling and VPC to build secure, highly scalable, and flexible systems that handled expected and unexpected load bursts.
• Effectively handle the integrating AWS services: EC2, S3, VPC Endpoints, VPC PrivateLink, VPC Peering, Transit VPC, Network Protocol, Sub-netting (Private and Public), IPsec, VPN, Route53, ELB, Auto scaling, SQS, SNS, IAM, Dynamo DB, Lambda, Amazon Kinesis, Cloud Front, Cloud Formation, CloudWatch, CloudTrail, Storage Gateway, internet Gateway to have a well architecture framework.
• Design, development and implementation of high availability, backup and recovery strategy for applications and database.
• Designed dashboard to show the operational metrics and optimization of servers using Tableau
• Built AWS S3 buckets and managed its policies using Identity Access Management (IAM). Also used Glacier along with S3 for Backup and Storage on AWS Cloud.
• Extensively worked on version control systems like GitHub and GIT for Source code management.
• Wrote SQL queries and used data frames to answer data related questions
• Purge old files based on the relevant dates and deployed using server-less Lambda functions, S3.
• Configured the CloudFormation scripts in YAML to deploy the resources needed in the deployment stack
• Wrote Lambda functions in Python to purge old files, performed testing
• Wrote CloudFormation Scripts to automate creation of the production stack
• Developed and implemented production pipeline using Jenkins, GitHub
• Java programming to design trigger flag logic and segmentation logic to assign the correct segment to each customer.
• Validation in the development environment, Migration to QA environment, Defect Resolution
• Defect resolution by root cause analysis, code change and validation
• Design & develop Rest APIs using micro services design pattern, Spring boot and Java8 (Core, Collections and Multithreading) for backend applications.
• Define and deploy monitoring metrics, and logging systems on AWS.
• Design IAM roles and permissions for AWS services

Confidential

System Administrator

Responsibilities:

• Planned and implemented a strategy to maintain system security on the computers, servers and networks
• Monitored system performance and troubleshoot issues.
• Ensured security through backups, access controls, and firewalls.
• Monitored performance and maintained system according to government policies and requirements.
• Upgraded systems with new releases and models.
• Train staff on new technology and/or system updates.
• Extensively involved in engineering databases, software, programming concepts, and finishing a capstone project.
• Created the admin panel for the administrators by gathering requirements from the client, developing in python language
• Wrote SQL Queries using joins, group by to aggregate data
• Data wrangling to convert open-street data into JSON format, stored in MongoDB
• Administration and conversion of data from questionnaire into quantitative format.
• Using SPSS in analyzing and interpreting data.
• Created Pivot Tables to view summarized data set in spreadsheet.
• Imported data from pre-existing text files and excel spreadsheet.
• Documented weekly meetings with internal and state supervisors.
• Administered Business intelligence tools to track metrics for locals’ action plan indicators.
• Designed the metrics to track the construction of borehole water system for locals
• Created an automation of data reporting, migration and analysis using Microsoft business intelligent tools
• Created Graphs for Spread Sheets and MS Access reports.
• Created Power BI Dashboards to present critical company data in a single report
• Created Pivot Tables to view summarized data set in spreadsheet
• Imported data from pre-existing text files and excel spreadsheets
• Generated the necessary BI reports and information to litigate tax appeals for properties.
• Documented weekly meetings with internal and external stakeholders