SUMMARY:

• Possess deep experience in Hadoop Architecture, Analytics, ETL, Datawarehouse, SAP HANA, ERP, UCS, and AWS Cloud for the clients.
• Possess excellent presentations skills and ability to work as a team with
• Possess deep leadership experience and built Big Data solutions working with Big Data Partners WWT and CDW.
• Possess Big Data Hadoop Solutions using Cloudera, MapR and HortonWorks Confidential Common Platform Solutions.
• Possess experience with large scale Hadoop environments build and support including design, capacity planning, cluster set up, performance tuning and monitoring.
• Possess Big Data and Analytics Expertise, MapReduce, EMR Hadoop, HDFS, Hive, PIG Latin, HQL Scoop, NOSQL Dynamo DB, HBase, Cassandra, Spark, Yarn, Spark, Kafka, Zookeeper, and AWS Redshift Datawarehouse
• Possess experience with Disaster Recovery and Business Continuity practice in Hadoop stack.
• Possess experience in Hadoop Ecosystems, and development of Analytics Platforms, data management and data modeling using Hadoop ecosystem.
• Possess very strong experience in architecting end - to-end enterprise cloud service offerings.
• Estimated the budget, resources and timelines. Developed the project plan and managed the Hadoop and AWS Cloud Project.
• Architected and delivered predictable Big Data Analytics solutions. Developed Big Data and data virtualizations solutions and generating analytics reports.
• Developed clients’ AWS Cloud and Big Data RFP proposals and presented to CTOs and EVPs.
• Provided the Technical Leadership to the teams and managed the clients’ technical relationship and delivery responsibilities.
• Estimated the Datacenter Infrastructure refresh Projects, Budgets and Resources.
• Defined EMR Hadoop & AWS Cloud Service features functionality gaps, cloud scope & requirements.
• Possess 19 years of Professional Client Consulting experience (Big Data, and Hadoop Architecture since 2010) in developing Big Data solutions, Architecting the Services in Cloud Infrastructure such IAAS, PAAS and SAAS, Identifying the service that are good candidates for Cloud, ETL, Data warehouse, AWS EMR Hadoop Cluster Architecture Based Redshift Datawarehouse Best Practices, Defining Cloud Services, EMC and HDS SAN, UCS Servers Solutions Architecture & Infrastructure, High Availability, Failover, Disaster Recovery, Monitoring, Performance Tuning Monitoring, Datacenter Migrations and Datacenter Technology, Implementation, Processes & Operations.
• Developed clients’ RFP proposals and presented to CIOs, CTOs and EVPs. Analyzed and selected the right EMR AWS Hadoop Architecture.

WORK EXPERIENCE:

Confidential

BIG DATA, HADOOP ARCHITECT

Responsibilities:

• Designed Hadoop Architecture for low latency Applications using NOSQL Key value pairs and AWS Cloud Practice and Datacenter Technologies to customers, partners, vendors, service providers and deployed the solutions.
• Designed the Hadoop architecture for clients’ data analytics and data solutions. Built strategic partnerships and provided leadership and guidance to partners, vendors to grow Cloud and Big Data business.
• Worked in cross-disciplinary client requirements and ingest data sources such as social media, emails, financial data, and operational data on Hadoop
• Provided the leadership role and managed the technical team. Developed the Big Data Solutions for Analytics, Reports and AWS Cloud Solutions for test and development, disaster recovery, financials, and other applications.
• Developed the Big Data and Cloud Solutions for various applications and marketed to the customer. Built the strong relationships with the Clients Executives. Designed and presented the Cloud solutions architecture to the customers’ executives and technical teams.
• Estimated the Big Data Hadoop Projects, Budgets and Resources. Defined Cloud & Big Data Cloud Scope & Requirements.

Confidential

Responsibilities:

• Evaluated the Customers’ Big Data Hadoop Architecture requirements. Wrote proposals and made Big Data, Hadoop, NOSQL and AWS Cloud presentations to the Customers, Partners and Vendors.
• Architected, implemented and tested Big Data Processing, Reporting, Amazon Redshift NOSQL Datawarehouse, Hadoop, and Data Analytics algorithms on a variety of hosted settings such as AWS Cloud, Client Technology stacks and Confidential ’s Cloud.
• Translated business analytics problems into technical solutions that recommended solutions in diverse domains such as risk management, product development, marketing research, supply chain, and public policy; communicate results and educate others through insightful visualizations and reports.
• Provided the leadership to the Big Data and Cloud teams. Worked with partners WWT and CDW to develop the Big Data Solutions for the customers Bunge, Waddell and Vera Bradley. Recommended Confidential Common Platform Architecture (CPA) Big Data Solutions for Clients and presented to the customer.
• Worked with Account Managers Customers, Partners and Vendors to identify the Big DATA and SAP HANA opportunities.
• Drove the Big Data and Hadoop Customer Solutions Opportunities working with the Account Managers, Product Managers and Partners.
• Architected and Big Data Analytics and Data Virtualization Solutions for large data sets and life cycle management of large-scale datasets.
• Presented Hadoop Architecture and Big Data Analytics Solutions and White Board Design to the partners and the customers.
• Developed Big Data Solutions and Analytics for the customers. Worked with WWT Technology Partners and internal Stakeholder teams in developing POC Solutions.
• Designed the Hadoop Architecture for Big Data using Confidential Big Data Platforms on UCS C240M3 MAPR, HortonWorks and Cloudera for the customers
• Architected and delivered Big Data Analytics Solutions. Developed Big Data and data virtualizations solutions and generating Analytics reports for the customers.
• Developed AWS Cloud & Confidential Cloud and Intercloud Solutions for Applications and Databases for reporting and development and disaster recovery environments
• Saved the cost by moving and processing the ETL data on Hadoop and then moving to datawarehouse. Tuned the applications and Datawarehouse performance.
• Created Big Data and Intercloud platform services using from Analytics. Developed Analytics Reporting Confidential Solutions for the customers.
• Developed Hadoop Solutions working with Confidential ’s Account Managers and Customers. Developed Pre-Sales Solutions working with Confidential Sales teams.

Confidential

CHIEF ARCHITECT CLOUD and HADOOP ARCHITECTURE

Responsibilities:

• Defined the Technical Vision, Strategy and Goals for refreshing client Ingrammicro’s SAP Legacy Servers and SAN Technology to virtualize and migrate the SAP and Oracle data to latest cost efficient new UCS platforms in Dallas Data Center to Virtualized SAN, Servers in SAP Chicago Data Center, Cloud, thus making the SAP Operations running 7*24*365 cost efficiently. Developed the client’s proposal and presented.
• Architected Big Data Solutions for ETL, SAP Datawarehouse, Reports using Hadoop and other tools.
• Managed the SAP Virtualization Infrastructure teams. Evaluated, Recommended, Designed, Developed the SAN and UCS Servers (Physical to Virtual) Infrastructure Architecture for SAP. And Big Data for reporting using ETL Tools
• Estimated the budget, resources and timelines. Developed the Hadoop project plan and managed the Big Data Hadoop and Cloud Project.
• Designed the Amazon Redshift Datawarehouse using Hadoop Clusters.
• Provided the Technical Leadership to the Big Data and Cloud team. Designed the AWS Cloud and Big Data Hadoop Architecture. Designed and Developed the Backup and Archiving, and Disaster Recovery.
• Developed the Cloud Strategy, Investigated, Analyzed, and Identified which Services are Suitable to build in Cloud and others not.
• Analyzed the Hadoop Analytics Requirements for the Datawarehouse project.
• Architected, Designed Datawarehouse Reporting environment in EMR and Hadoop Redshift Datawarehouse.
• Analyzed and identified the right AWS Cloud Vendors and Cloud Services. Analyzed and Identified the Services that are good candidates for Private or Public or Hybrid Cloud.
• Analyzed AWS Cloud Solution Operating Cost vs. Infrastructure Cost, Carried out Cloud Capacity Planning, Forecasted Capacity Demand Growth and Spending in Cloud.
• Architected and Designed the Business Architecture on Cloud using IAAS, PAAS and SAAS for SAP.
• Identified Customers Requirements for the Cloud Infrastructure for the modules in IAAS, PAAS and SAAS.
• Designed and Architected Public and Private Subnets in VPC Cloud. Connected the AWS VPC Gateway to On-Premise Network using IPSec VPN and Direct Connect Services.
• Developed the Project Plan, Estimated the Resources and Managed the Hadoop Big Data team. Architected, Designed and Best Practices of Hadoop.
• Defined Ingrammicro’s Customers Requirements for the Cloud Infrastructure. Implemented Ingrammicro’s Cloud Architecture and Cloud Services for the Customers.
• Designed and developed the SAP Architecture of the Virtualized UCS Servers and Storage Architecture including High Availability, Failover, Performance Tuning, Monitoring & Diagnostics, Disaster Recovery

Confidential, Santa Ana, California

ENTERPRIS ARCHITECT, CLOUD and HADOOP ARCHITECTURE

Responsibilities:

• Developed Storage Technical Architecture Vision, Strategy & Goals. Developed the client’s SAP proposal and presented. Developed new cost effective EMC VMAX Storage Architecture and Disaster Recovery at Chicago, Frankfurt and Singapore Datacenters. Consolidated various Legacy Servers and SAN Infrastructure into ESXI Virtualized Servers on UCS B440M2 Blades.
• Estimated the budget, resources and timelines. Developed the project plan and managed the Big Data Hadoop and Cloud Project.
• Provided the Technical Leadership and Developed the SAN Architecture for Ingrammicro’s brand new datacenters at Chicago, Frankfurt and Singapore. Migrated the data from old datacenter in Dallas to new datacenter in Chicago. Used the latest Virtualized SAN, UCS Servers technology and Tools & Processes.
• Designed and Developed the Hadoop Solution Architecture for Analytics and Reports.
• Analyzed AWS Cloud and Big Data Solution Operating Cost vs. Infrastructure Cost, Carried out Cloud Capacity Planning, Forecasted Demand Growth and Spending in Cloud.
• Investigated Cloud Architecture and Defined the Cloud and Big Data Infrastructure requirements for Ingrammicro’s Customers.
• Analyzed and selected the right Cloud Vendors and Cloud Services. Analyzed and Identified the Services that are good candidates for Private or Public or Hybrid Cloud.
• Designed and Architected the Business Architecture on Big Data and Cloud for Ingrammicro’s using IAAS, PAAS and SAAS.
• Identified Ingrammicro’s Customers Requirements for the Cloud and Big Data Infrastructure for the modules in IAAS, PAAS and SAAS.
• Architected, Designed and Developed the Backup and Archiving, Disaster Recovery in AWS Cloud
• Architected, Designed and Developed the Test, Development and Reporting environment in PAAS.
• Investigated, evaluated various Cloud Infrastructure Options and Developed the Cloud Infrastructure for Ingrammicro’s Customers.
• Recommended, Designed and Developed the SAN and UCS Servers Architectures, Used VMware on Confidential blade UCS Servers & EMC Systems and migrated to Chicago Datacenter.
• Carried out complete SAN RFP process from beginning. Invited EMC, HDS and IBM vendors to bid the SAN Hardware Selection. Designed the SAN Design, Architecture, Cost and technical questions for Storage RFP Bidding process.

Confidential

Storage Architect and Operations

Responsibilities:

• Developed the client’s proposal and presented. Designed and Developed EMC VMAX, NS-960 and HDS USPV & AMS SAN Architecture and Operation Teams and provided the Technical Leadership to the SAN Team members.
• Migrated the Servers from EMC VMAX to HDS USP. Designed the migration strategy using HDS HUR and Tiered Storage Manager to migrate the servers and the storage. Wrote the Migration Document. Migrated over 400 TB of data.

Confidential

SENIOR MANAGEMENT CONSULTANT

Responsibilities:

• Developed the Vision, Roadmaps and Goals for SAN Infrastructure and Operations Business Requirements. Developed the client’s proposal and presented.
• Managed EMC’s DMX, CX-380 and HDS USPV &AMS Architecture and Operation Teams and provided the Technical Leadership to the SAN Team members.
• Designed and developed all EMC DMX-4, USPV and AMS SAN Architecture and SAN Administrations Teams Tasks Activities. Provided the mentoring to the team members.
• Managed the EMC/HDS Storage Migration and Operations Team, migrated over 300 TB Data to HDS USPV 1100 from EMC DMX-3 Storage System.

Confidential

SENIOR MANAGEMENT CONSULTANT

Responsibilities:

• Managed the SAN Architect and SAN Administration Teams. Resolved SAN Architecture and Operations Issues.
• Developed the SAN Architecture and SAN Strategy to meet the goals and objectives of SAN.
• Developed High Availability, Disaster Recovery and Failover Strategy for SAN Solutions using SRDF/A.
• Developed the SAN Consolidation and Virtualization using USP and EMC’s CX-380 Clariion Storage.
• Managed overall projects, build the project plan & budgets. Estimated the cost, assessed the risks and delivered the solution on time within budget.

Confidential

SENIOR MANAGEMENT CONSULTANT

Responsibilities:

• Managed EMC SAN Teams and provided the Technical Leadership to the team members.
• Directed and coordinated all EMC SAN Architecture and SAN Administrations Teams Tasks Activities. Provided the mentoring to the team members.
• Developed High Availability, Disaster Recovery and Failover Strategy for Data Center. Developed Mirrorview, Symsnap, Symclone and Snapclone Solution for the Disaster Recovery.
• Designed and developed and implemented the Enterprise Class Architecture CX-380 SAN Architecture for the Florida Toll Roads Storage Systems.
• Consolidated the fast growing storage and setup the CX-380 EMC and HDS Virtualized Storage and tiered storage.

Confidential

Chief Solutions Architect

Responsibilities:

• Developed the SAN Architecture and SAN Strategy to meet the goals and objectives of SAN.
• Consolidated the SAN and Server requirements. Increased the performance and cut data center operations cost. Identified the business requirements and translated the requirements into solution delivery.
• Developed the Scalable Raid Architecture using various Raid levels 0, 1, 5, 6, and 1+0 for mixed read/write Random/Sequential work load for High Performance Computing and Network Storage.
• Provided leadership and managed Raid Systems Architecture team.