cloud architect hadoop engineer resume example with 8+ years of experience

(555) 432-1000,
Montgomery Street, San Francisco, CA 94105

I am an Engineer with over 4 years of work experience. I have a background in adding value and meeting Organization goals using Amazon Web Services(AWS) & Apache Hadoop and their complementary EcoSystem tools including Apache Spark, Apache HBase, Amazon Redshift, Amazon RDS, Amazon VPC, Amazon S3 and many more. Status: U.S. Citizen

Skills & Certifications
  • AWS Certified Solutions Architect – Associate (AWS-ASA-33209) 
  • CompTIA Security+ Certification(in-progress)
  • Cloudera Certified Hadoop Developer (CERT # 100009638)
  • Cloudera Certified HBase Specialist (CERT # 100009638)
  • Jenkins, Docker & Ansible
  • Knowledge of Continuous Integration & Devops Best Practices
  • Intermediate Java & Scala Shell Scripting
  • Knowledge of Advanced Data mining Techniques(Supervised & Unsupervised learners)
  • Working Knowledge of Github & SBT
Arizona State University - Part-time Remote, Expected in 2014 Master of Science : Business Analytics - GPA :
University of Arizona Tucson, AZ Expected in 2012 Bachelor of Science : Business - GPA :
AT&T(Accenture/Cognizant) - Cloud Architect/Hadoop Engineer
City, STATE, 2013 - Current
Overview: Multiple years of experience in Big Data & Cloud development life cycle for the Telecommunication domain using Java, Scala, Spark and other Hadoop components. My expertise includes Technical Delivery, Delivery Management & Technical Team Management. I’ve been a developer for 4 years, technical Lead & Architect for a year, and a thought leader in setting technical standards for the projects. The following points describe my skill set in some detail.  
  • Experience with structured and semi-structured Telecommunication data.
  • Experience Architecting & Delivering Cloud Migration Solutions: Security Process implementation, Cost Analysis & Control.
  • Experience Deploying Dockerized Java Applications in AWS as well as writing Dockerfiles
  • Strong experience in executing Proof of concepts and setting up application prototypes using Apache Hadoop ecosystem.
  • Experience implementing Cloud Design Patterns(CDN, Eventual Consistency, Auto Scaling, Map-Reduce).  
  • Setting up and configuring AWS Virtual Private Cloud(VPC) components--Subnets, IGW, Security Groups, EC2 Instances, Elastic Load Balancers & NAT Gateways for an Elastic MapReduce Cluster as well as Application & Web Layer Client access. 
  • Experience setting up Amazon S3 bucket and Access control policies, S3 & Glacier LifeCycle rules.
  • Designed Java API to connect the Amazon S3 service to store and retrieve the data files. 
  • Setting up and Configuring Amazon RDS and Amazon DynamoDB instances in Multi-AZ & Multi-Region for fault tolerance and Backups.
  • Experience Implementing best practices for building Highly Available, Fault Tolerant Applications(Active-Passive Warm).
  • Experience deploying Hadoop Applications on a persistent Elastic MapReduce(EMR) cluster through S3.
  • Experience setting up and configuring IAM policies (Roles, Users, Groups) for security and identity management.
  • Experience writing and deploying AWS Lambda Functions.
  • Creating, editing and deploying CloudFormation Templates.
  • Experience coordinating with AT&T Legal to satisfy privacy requirements.
  • Knowledge of Cost Management and Security Best Practices.
  • Strong Architecture design, key design and table schema design skills on HBase for Clients API product.
  • Expanded aggregation parameters in pre-existing pipelines using MapReduce and Hive.
  • Designed and populated aggregated data into JSON docClairent for API exposure using the Jackson Framework.
  • Maximize return on marketing spend with targeted campaigns based on Big Data analytics insights for client.
  • Streamlining and expansion of Hive pipeline to accommodate additional client requirements while also to optimizing pre-existing Hive queries (30% increase in efficiency).
  • Conversion and tuning of pipeline tasks from Hive to Spark SQL & Data Frames for vast performance improvements and efficiency(6x faster).
  • Performed pre-deployment & Production code review.
  • Strong experience in managing and leading a technical team in an Agile environment.
  • Developed CloudFormation scripts & templates to build on demand EC2 instance formation for faster deployment setup.
  • Ability to interact with and build strong Business Relationships with clients.
  • Experience setting up and configuring Jenkins pipeline for Continuous Testing, Continuous Inspection and Continuous Deployment.
  • Created and maintained Ansible Playbooks and commands run on Autoscaled EC2 instances
  • Excellent communication skills, a great Team Player & outside the box thinker.
  • Knowledge Transfer and Production Support.

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Resume Overview

School Attended

  • Arizona State University - Part-time
  • University of Arizona

Job Titles Held:

  • Cloud Architect/Hadoop Engineer


  • Master of Science
  • Bachelor of Science

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