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Aws Devsecops Engineer/application Security Resume

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Reston, VA

SUMMARY:

  • Afam is a goal oriented Cloud Engineer with years of proven experience in managing Server infrastructures
  • Cloud adoption, Devops, Cloud Consulting, Business Intelligence and Datacenter operations across multiple platforms (Unix, Linux, Windows). Expert level experience of Amazon EC2, S3, RDS, Elastic IPs
  • EBS, Security Groups, DevOps, DevSecOps, Kubernetes, Chef, Dynamo DB, Redshift
  • Cloud Formation, Route 53, VPC, Elastic Cache, Elastic Beanstalk, Elastic Load Balancing, SQS, System Manager, Identity and Access Management (IAM) and other services in the AWS Cloud.

TECHNICAL SKILLS:

  • Python, Javascript, Java, Yaml, Fotify, ZAP, Checkmarx
  • IAST, GitHub, Boto 3, Gitlab, Redshift, Jira, Agile Scrum
  • CloudFront, Route 53, Amazon EC2, S3, RDS
  • CloudFormation, Elastic Beanstalk, Elastic Load Balancing
  • Docker, Jenkins, AWS Lambda, Zap, SAST, DAST
  • Bash Shell Scripting, Identity and Access Management
  • (IAM), Amazon Redshift, Kubernetes, SonarQube
  • Synk, Python, Tableau Desktop, Tableau Prep
  • Tableau Server/Online, SQL, Power BI, TSQL
  • OracleSQL, Unix/Linux (RedHat, Ubuntu)
  • SSRS, SSIS, SSAS, DAX, AWS, SSAS, Data Modelling.

PROFESSIONAL EXPERIENCE:

AWS DevSecOps Engineer/Application Security

Confidential, Reston, VA

Responsibilities:

  • Leading the POC, adoption and deployment of IAST - interactive application security for application security and threat modelling port and firewall rules, gathering technical information for prospective applications and recommending, code installation procedures.
  • Passive IAST Agent installation and automation with Puppet for the company wide applications and ensuring the vulnerabilities where address to conform with NIST standards and enforce compliance.
  • SSO Integration for various applications.
  • API security scanning and automated integration with Data Theorem and integration with Apigee.
  • Designed and implemented a continuous build-test-deployment (CI/CD) system with multiple component pipelines using Jenkins, Urban code deploy and urban code release to support weekly/Monthly releases and out-of-cycle releases based on business needs.
  • Fortify API migration support for application teams.
  • Design extensive CloudFormation templates for provisioning AWS infrastructure using Urban Code Deploy (UCD)tools for SAST, SCA, Container, DAST, IAC, Inspector, Infrastructure and Compliance scan applications.
  • Created task definitions and services CloudFormation stacks for ECS Fargate container deployments for multiple Rest API’s and invoked the container from AWS lambda functions.
  • Experience with container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries, ECR, EKS and Kubernetes.
  • Writing builds (Maven) and deployment scripts (Shell) to automate build and deployment of the application.
  • Create Jenkins CI CD pipelines for continuous build & deployment and integrated Junit and SonarQube plugins in Jenkins for automated testing and for Code quality check.
  • Writing initiate, auth, verify, QueryScan test cases for Inspector, SAST, DAST, API security scanning solutions and deployment with Jenkins pipelines.
  • Integrated SonarQube with Jenkins for continuous inspection of code quality and analysis with SonarQube Scanner for Maven.
  • Orchestration of containers and configuring task definitions in AWS ECS, for Dockerized applications and OWASP ZAP.
  • Proffering solutions, Application security support and troubleshooting application specific code base errors in python, Java based applications, resolving context specific tickets for application security assessments and retests.

AWS Cloud Engineer

Confidential, MD

Responsibilities:

  • Provision AWS resources using AWS management console as well as Command Line Interface (CLI).
  • Plan Builds and configure AWS networking components including VPC, Security groups, etc.
  • As a member of the Enterprise review board, me reviewed and built architectural frameworks that were in line with AWS best practices with the Well Architected framework.
  • Cloud Migration with Data Pipeline, Storage gateway DMS, Oracle Glodengate, Oracle Datapump, Oracle SQL Loader and Hybrid cloud adoption.
  • Provision IAC using SDK and Python Boto3 library in AWS.
  • Responsible for creating EC2 instances with varied AMIs and bootstrapping.
  • Built and deployed Docker containers to break up monolithic app into microservices, improving developer workflow, increasing scalability, and optimizing speed.
  • Create and Manage IAM users, groups, permissions, and roles for access to AWS services.
  • Perform automated snapshots using CloudWatch rules, create EBS volumes from snapshots.
  • Implement, maintain and monitor alarms, logs and user activities using CloudWatch and CloudTrail.
  • Archived outdated data to Glacier through Life Cycle Policy configuration.
  • Incorporating security in CodePipeline, Code smells, Code Analytics and Vulnerability scanning, Flaws detection and Remedial.
  • DAST, SAST, IAST with commercial and open source tools like SonarQube, Snyk, OWASP ZAP.
  • Launching databases via RDS to support web application functionality.
  • Create CloudFormation stacks and templates to provision AWS resources.
  • Create low latency websites using S3, CloudFront, and Route53, Installed Apache Web Server.
  • Set up Ansible environment for configuration management, DynamoDB, Elastic cache and Lambda.
  • Source control management with Git, automation, provisioning, creating infrastructure and resources with Terraform.
  • Setup CI/CD pipelines using Jenkins, Maven, GitHub, Ansible.
  • UsedKubernetesto orchestrate the deployment, scaling and management of Docker Containers.
  • Creating Docker containers for fast and agile deployment of applications in the cloud.

AWS Solutions Architect

Confidential, Detroit, MI

Responsibilities:

  • Worked with business units, software developers, security, to design and build applications and services within AWS and/or other cloud providers.
  • EC2 instance creation, S3 bucket configuration and management of other AWS services.
  • Cloud Migration with Data Pipeline, Storage gateway and Hybrid cloud adoption.
  • Oracle Cloud Migration with Data pump, GlodenGate.
  • Created and managed AWS infrastructure using Terraform &8 Cloudformation.
  • Implementing new projects builds framework usingJenkins& maven as build framework.
  • Administrative tasks on Tableau online, scheduling refreshes, performance recording.
  • Led efforts to identify key performance indicators and metrics that facilitated reporting and analysis in Tableau.
  • Performed ETL procedures from Datawarehouse using DML, DDL etc.
  • Develop stored procedures, database triggers and SQL queries where needed.
  • Designing and creating the data warehouse and all related extraction, transformation and load of data functions.
  • Built Proof of concept models to engender Tableau concepts to the needs of prospective clients Involved with the Data Science team with automating and producing weekly, biweekly, monthly Tableau reports from the Redshift Datawarehouse for the decision making of the Executives.
  • Participated in dimensional modelling processes including building out dimensions and facts.

AWS DevOps Engineer

Confidential

Responsibilities:

  • Built and deployed Docker containers to break up monolithic app into microservices, improving developer workflow, increasing scalability, and optimizing speed.
  • Deployed Amazon Web Services (AWS), including EC2, S3, EBS, ELB, Auto Scaling groups, RDS, MySQL DB, Maria DB, VPC, Route53, IAM, CloudFormation.
  • Cloud Migration with Data Pipeline, Storage gateway and Hybrid cloud adoption.
  • Automation and configuration management for creating DevOps environments using Puppet, chef, Ansible.
  • Building/MaintainingDockercontainer clusters managed byKubernetes Linux, Bash, GIT,Docker.
  • Operating System virtualization and containerization technologies such as Vagrant and Docker.
  • AWS Cloud Formation and Elastic Beanstalk (EBS) for code/resource template and deployments into Development, Test and Production web and application server environments.
  • Virtualization of the Linux operating system on Windows using Oracle VM VirtualBox Manager, Cygwin and Vagrant.
  • Used AWS Serverless Architecture- Lambda based off of Python run-time.
  • Automated build and deployment using Jenkins to reduce human error and speed up production processes.

AWS Cloud Engineer

Confidential

Responsibilities:

  • Created Amazon EC2Instances using and Configuring launched instances with respect to specific applications.
  • Worked in an agile development team to deliver an end to end continuous integration/continuous delivery product in an open source environment using Jenkins.
  • Used Terraform to create and manage the AWS cloud infrastructure. Managed servers using configuration management products with Ansible.
  • Repeatedly worked on AWS Cloudplatform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, EBS, S3, DynamoDB, Elastic Cache, IAM, CloudFormation, CloudWatch instances.
  • Maintained the security groups in EC2 VPC and controlling the inbound and outbound traffic.

AWS Solutions Architect

Confidential

Responsibilities:

  • Continuous Integration, Continuous Deployment, Security, code smells, for Software development lifecycle.
  • AWS Cloud Migration from On-premise.
  • Maintained high Availability clustered and standalone server environments and refined automation component with scripting and configuration management.
  • Repeatedly worked on AWS Cloudplatform and its features which includes EC2, VPC, EBS, AMI, SNS, RDS, EBS, S3, DynamoDB, Elastic Cache, IAM, CloudFormation, CloudWatch instances.
  • Cloud resource provisioning and IAAS with Terraform templates.
  • Cloud security adoption with KMS, SSE, Encryption at rest and transit in conjunction with IAM roles to secure cloud resources.

Tableau Developer

Confidential

Responsibilities:

  • Created operational dashboards and reports using SSRS & Tableau.
  • Creates effective Business Intelligence (BI) solutions and analytical dashboards / analytical tools for business users in Tableau.
  • Developed highly customized ETL solutions using SSIS for data warehouse and Transactional system data loads.
  • Build and publish customized interactive Tableau reports and dashboards along with data refresh scheduling using Tableau Desktop and Tableau Server.
  • Developed various data connections from data source to Tableau Desktop for report and dashboard development.
  • Created T-SQL Queries, CTEs, stored procedures and functions to implement medium to complex business logic for reporting and analysis purposes.
  • Developed and maintained SSRS reports using relational databases as data sources for internal and external client reporting.
  • Identified and corrected exceptions and inconsistencies in transactional data and continuously enhanced data quality based on requirements gatheird from business units.
  • As part of a team, created and modified logical and physical data models to support analysis and reporting.

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