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Cloud Architect Resume Example

Resume Score: 80%

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CLOUD ARCHITECT
Professional Summary
  • An AWS Certified Solutions Architect Professional and GCP Certified Cloud Architect with over 5 years of experience designing and driving customer-centric solutions by implementing platform-specific best-practices and standard DevOps methodologies with an extensive understanding of highly available and scalable architectures.
  • A Certified Kubernetes Administrator(CKA) with practical experience in designing and building a portable, extensible, open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation.
  • A Cloud Solution Architect with experience in compiling solutions using different technology stacks by effectively translating business requirements into IT solutions.
  • Led the Digital Modernization initiative to convert existing application binaries to Kubernetes based microservices in the process of adopting new business-enabling technologies.
  • A Strategic Leader with customer-centric experience, directing and improving operations through effective employee motivational strategies and strong policy enforcement.
Work History
Cloud Architect, 10/2018 - CurrentHitachi Vantara, Washington D.C Metro Area, VA

Client: Hitachi, Ltd.

Project: Manufacturing Insights

  • Architected and created a highly scalable multi-cloud platform using Kubernetes, as the primary control plane component, and open source tools such as ISTIO, Keycloak, NGINX, Prometheus, Grafana and others.
  • Designed and Implemented a Secure Cloud Computing Architecture (SCCA) approved Virtual Data Center Management Stack (VDMS) and Virtual Data Center Security Stack (VDMSS) to enhance the security of the solution.
  • Developed a multi-tenant network architecture using AWS Transit Gateway to create hub and spoke network model for the customers within the network.
  • Introduced cutting-edge DevOps frameworks to accelerate the delivery of microservices through a tightly governed release process
  • Formalized and restructured the code release process by creating and implementing automated code sanity checks into the pipeline framework
  • Implemented ISTIO as a service mesh component to observe and control network flow across services running in multiple kubernetes clusters.
  • Created solution architectures for different use cases that met the customer' business, functional and technical requirements.
  • Coordinated with geographically-distributed different product teams and key stakeholders and captured business requirements.
  • Actively participated in all phases of the software development life cycle, from requirements analysis through system implementation.
  • Proposed and launched a show & tell program through which every team member gets an opportunity to explore and learn new technologies and present it at the bi-weekly Show & Tell event.

Client: Hitachi, Ltd.

Project: DataLake as a Service

  • Architected and developed a composable data lake framework from ground-up and led the initiative of creating a new service offering for use by customer-facing delivery teams.
  • Created design concepts by creating a plug and play reusable infrastructure blueprints that provide capabilities like data transformation, data storage, data warehousing using AWS Redshift, AWS Glue, and AWS EMR cluster.
  • Administered the composable solutions to follow architectural best practices like operational excellence, security, reliability, performance and cost optimization.
  • Implemented personalized workstations POC by creating customized EMR clusters and providing secure access using AppStream 2.0.
  • Interacted with customers, internal staff, and other stakeholders to determine the scope of product requirement, execution and integration of system-oriented projects.
  • Planned and executed weekly scrums to meet the project deliverables, review key milestones and advise the team through technical implementation problems.
  • Mentored and trained geographically-distributed resources, set weekly goals and helped motivate the team to explore new technologies and produce new proof of concepts.

Client: Bank of Montreal - Canada

Project: Datalake Assessment

  • Spearheaded the assessment of an existing Data lake platform built on GCP toanalyze and predict insights on the marketing data streamed from social media platforms.
  • Proposed critical network and security best practices to support Compliance, High availability and Scalability of the existing Cloud infrastructure.
  • Worked with key stakeholders across the board to capture the business requirement and proposed solutions using Cloud Functions to transform data.
  • Designed and developed a turn key solution to solve a critical security vulnerability with the network connectivity between their on-prem and cloud networks.
  • Created and presented a final assessment read out to review the findings from the current infrastructure setup.

Client: International Monetary Fund

Project: Datalake Assessment

  • Led a team to provide architecture assessment on existing AWS environments to implement a cloud Data lake which includes data transformation, ad-hoc analysis, Data Warehousing, and Sagemaker.
  • Reviewed client's existing on-prem business intelligence solutions and presented a highly redundant data lake architecture to support Machine Learning and data transformation processes across the data lake.
  • Executed a POC to correlate real-time social media data from Twitter using Amazon Kinesis with client's existing campaign data to uncover new marketing insights in near real-time.
  • Proposed a data governance model using Role-based access control (RBAC) principles for accessing different types of data within the organization.
Senior Cloud Engineer, 12/2015 - 10/2018REAN Cloud LLC, Washington D.C Metro Area, VA

Client: US Department of Transport:

Project: Waze Data Collection Platform

  • Architected a streaming data collection platform to store data securely and analyze data using pySpark on AWS EMR.
  • Created a DevOps framework for deploying a full-stack application which provides near real-time search capability across the WAZE user/traffic data
  • Designed and implemented a data pipeline using kinesis firehose to stream the data from the WAZE REST API.
  • Created automated deployment pipelines using Jenkins and automated the infrastructure and application setup
  • Provided a secure streaming HTML5 workstation and provided Jupyter notebook capabilities to analyze the data within the workspace.

Client: American Heart Association

Project: Precision Medicine Platform

  • Involved as a Senior Consultant to drive the initiative of engaging the researcher community to use cloud services and analyze genomic data.
  • Created a Jenkins infrastructure automation pipeline to deploy infrastructure into multiple accounts simultaneously using Terraform.
  • Implemented the Blue/Green deployment process and adopted a very fast release cycle to ensure that we have a release every sprint to push features as they are available.
  • Managed an off-shore team and was responsible for the overall researcher support and platform satisfaction.
  • Enforced process-oriented operations and created a slack bot using Amazon Lex which helped us improve our day-to-day operations.
  • Created a storyboarding session with the entire team and captured new ideas and stories to further optimize the PMP platform.

Client: American Heart Association

Project: DataScience Workspace

  • Implemented a well-architected, secure 7-layer virtual private cloud to host various application services in their own isolated subnets.
  • Developed and Implemented a solution that provides a data science environment using AWS EMR with the tools and services that are needed for a researcher to perform analysis on the health data within the platform.
  • Created data governance models to support a large number of researchers trying to access and analyze genomic data which is stored in a centralized location.
  • Developed a shell script to bootstrap the EMR cluster into a data Science environment to support different tools like Spark, TensorFlow, Shiny, Rstudio and etc.
  • Developed an ETL process to normalize the data that is received from different consortium's to make sure that the data is unified within the AHA-PMP platform.
  • Assembled an innovative solution using App Stream 2.0 which optimized the overall user experience as well as solved some of the complex problems related to dataset access.
  • Developed infrastructure as code using Terraform and implemented serverless infrastructure deployment using Lambda, StepFunctions, and boto3 APIs.
  • Implemented Chef configuration management service to automate the process of installing packages using chef recipes and to make sure that the deployed infrastructure is in compliance with the architecture.
Skills
  • Cloud Solution Architecture Experience
  • Hybrid Platform Architecture Experience
  • Designing Serverless Microservice Architectures
  • Creating DataLake and DataOps Architectures
  • Assess and validate existing solutions/architectures
  • Enabling Data Governance and Compliance
  • Setting up standardized DevOps Frameworks
  • Building Customer Relationship
  • Agile project management using scrum and agile methodologies
  • Application Infrastructure planning and provisioning
  • Critical thinker and problem solver
Education
Master of Science, Computer Networks And Telecommunications, 2016
George Mason University - Fairfax, Virginia

GPA: 3.7

Bachelor of Technology, Electrical and Electronic Engineering, 2014
Jawaharlal Nehru Technological University - Hyderabad
Certifications
  • AWS Certified Solutions Architect - Professional
  • Certified Kubernetes Administrator
  • Google Certified Cloud Engineer
Technical Skills
  • Cloud Platforms: AWS, GCP
  • Container Orchestrators: Kubernetes
  • Open-source Tools: Istio, Docker, Rancher, Nginx, Kong, Keycloak, Grafana, Prometheus, KOPS, kubeadm
  • BigData Tools: AWS EMR, AWS Glue, PySpark, SparkR, Hive, Elasticsearch, Jupyter, Rstudio, Pandas, Scikit, plotly, SQL
  • Programming Languages: Bash/Shell, Python, Terraform HCL,Groovy, Gherkin
  • CI/CD Tools/Methods: Git, Chef, Jenkins, Jenkins Template Engine, Seed jobs, Blue Ocean Pipelines, Application Blue/Green Deployments, Docker Manifests, Helm, Packer
  • Visualization Tools: Kibana, AWS QuickSight, Grafana
  • AWS native Languages/Framework: AWS CFT, AWS States Language, Python boto3
  • Infrastructure as Code: AWS CFT, Terraform
  • Databases: Dynamodb, SQL, PostgreSQL
  • Data Warehouse: Redshift, Redshift Spectrum
  • Data Governance: S3 Access policies, Elasticsearch Fine-grained access control
  • Data Analysis/Query Tools: S3 select, Athena, Redshift Spectrum, SparkSQL, HiveQL
  • ETL Tools: PySpark using AWS EMR and AWS Glue, Pentaho
  • Data Modeling: Data Cataloging using Glue and Lakeformation, Schema inferencing using glue crawler
  • Agile Tools/Methods: JIRA, Scrum, Story-Boarding Sessions
Accomplishments
  • Executed as a senior consultant across multiple projects and received tremendous positive feedback for my willingness to share skills, knowledge, and expertise.
  • Recognized with multiple monthly star awards and the annual award "Employee of the Year-2017" for using innovative solutions across multiple projects.
  • Led weekly meetings within the teams to brainstorm and conduct a storyboarding session, enabling peers a venue to resolve issues quickly and effectively.
  • Developed and executed a training plan to motivate teams and participate in collaborative discussions to explore new frameworks and solutions that will help accelerate the delivery of services.
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Resume Overview

Companies Worked For:

  • Hitachi Vantara
  • REAN Cloud LLC

School Attended

  • George Mason University
  • Jawaharlal Nehru Technological University

Job Titles Held:

  • Cloud Architect
  • Senior Cloud Engineer

Degrees

  • Master of Science , Computer Networks And Telecommunications 2016
    Bachelor of Technology , Electrical and Electronic Engineering 2014

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