Senior Consultant / Business Intelligence / Architect Resume
4.00/5 (Submit Your Rating)
Las Vegas, NV
SUMMARY
- Experienced Technologist with expertise in big data, distributed and commodity computing, mission critical high availability and high performance, cloud and business intelligence, analytic computing, analytic s, probability intelligence, software developments, patent and copyright developments storage solutions and pervasive enterprises.
- Enterprise architecting and programming utilizing the latest technology advancements onto intelligent collaborative information management and life cycle management. Business driven utility computing and computational pervasive technology solutions.
- Next generation enterprise distributed computing technology design, development, management. With expertise in engineering solutions, business intelligence, scientific engineering, data sciences, distributed and parallelism computing, process modeling data real time intelligence, real time data security.
- Fraud intelligent, data center deployments and management, relational intelligent data developments, simulation and artificial intelligence, technology solution recommendations, cost justification, executions, implementations and ongoing development and managements.
TECHNICAL SKILLS
- AIX
- IRIX
- HPUX
- Solaris
- CentOS
- Linux
- Red Hat
- Windows
- Solaris
- Chappel...etc
- Computational Fluid Dynamics
- Computer Aided Design and Manufacturing
- Enterprise Modeling
- ITIL
- ESA
- Abacus
- Rinno
- Avoloution
- Computer Aided Engineering
- Telco Intelligence DevOps
- Cray XMP Chapel
- Data Commodity
- Classifications
- Data De Duplication
- Dynamic Offloading
- GlusterFS
- File Systems
- Rest
- Soap API’s
- Scrum Master
- Greenplum
- Terradata
- Hadoop
- Cassandra
- MomgoDB
- Dynamo
- High Performance Computing
- HTML HTML5. C++
- Data Mining and Analysis
- I/O Path Reduce Deployments
- IBM GPFS
- EDW
- DM
- Agile Information Life Cycle Management
- BI / BA
- Low Voltage Computing
- Nuclear Analysis
- Lustre
- Ceph
- GPFS
- Spark
- Scala
- Tackeyon
- BDAS
- Talend
- Cassandra
- MongoDB
- Dyanamo
- Machine code learning and Intelligence
- WebShpere
- Luster
- Gluster
- MPI
- WSO2
- ESB
- Virtualization TechnologiesOracle
- Informix
- Shell
- Pearl
- PHP
- Java
- Product Life Cycle Management
- SDLC
- Hortonworks
- Talend
- RDBMS
- Java/J2EE
- Bootstrap
- Linux
- PHP
- Python
- C
- C++
- Hadoop
- Hive
- Sqoop
- HBase
- Pig
- MapReduce
- Spark
- Scala
- Storm
- Slurm
- Rock clusters
- Erwin
- SSIS
- Informatica R code
- MongoDB & other Hadoop eco - system components
- Data warehouse
- Data Archiving
- Scrum Master. Agile
- SAP
- Storage and Backup
- Mobile Data Intelligence
- Python Codeing
- Rendering
- Scientific Computational Enterprises
- Big Data Business Intelligence Analytic
- SQL
- NoSQL
- Agile WebSphere
- Azure
- AWS
- BlueMix
- SSD Storage and Flash technologies
- Amp
- Block Channeling
PROFESSIONAL EXPERIENCE
Confidential
Senior Consultant / Business Intelligence / Architect
Responsibilities:
- Scrum Master / Solution Architect in a large multi PB Mark Logics Big Data Platform
- Scrum Master, developed, tested and deployed a large scale Hadoop Spark BI / BA solution
- Architected, developed and advised on a big data energy proactive power generation business intelligent enterprises
- Evaluated, developed advised and developed a real time Big Data Spark Enterprise solution, Level3
- Assessed and Architected a real time remote medical vital proactive intelligent solution for various implanted devices
- Scrum Master / Lead Enterprise Architect / Engineer / developed for a real time pro active remote medical solution
- Big Data Cloudera Hadoop SME
- Architected a super computer data center solution
Confidential - Las Vegas, NV
Big Data Enterprise Architect / Business Intelligence and Business Analytic
Responsibilities:
- Lead and directed the big data, business intelligence technology directions, from solution research to evaluations to prof of concepts and onto operations and or production ready steady states
- Deliverer a long term high volume information input streams for a long term big data corporate enterprise solution plan.
- Defined and develop multiple HPC real times Spark Scala Hadoop packages
- Responsible for designing architecting and managing all of Confidential big data distributed parallelism high performance computational solutions for the entertainment industry
- Directed the Big Data daily managements, administrations and operation requirements and executions
- Changed the Hadoop BI SLA from less than 50% to over 99.9%
- Scrum Master / Conducted new development and executions of business intelligent analytic s on two Hadoop Clusters
- Accountable for evaluating and recommending all Big Data technologies solution sets from leading industry technologies and solution offerings.
- Managed, administered and developed two Hadoop production clusters greater than 500 TB HPC Cluster
- Development for all Big Data operating procedures and protocols
- Supported a staff of script code developments for map R and EDW ETL solutions
- Provided leading research on up to date next generation Big Data BI real time information / data intelligent and HPC solution sets and offerings
Confidential
Chief Solution Architect / Data Scientist / Pre Sales Engineer
Responsibilities:
- Design, architect and validated the world’s largest Big Data distributed parallelism high performance computational solution for the human genome project (bioinformatics).
- Researched, engineered and architect ed and developed a utility patent valued at over $250M.
- Accountable and the up to date subject matter expert in the big data, business intelligence and high performance computing industry
- Provided accountability and leadership for transitions from prof of concepts to production
- Created, developed and directed a medical distributed big data Hadoop, Spark and Cassandra Map Reduce genome analysis HPC solution set for the Federal Human Gnome Project
- Lead programmer and architect that delivered multiple HPC scientific solution parsing and high performance algorithm solutions sets.
Confidential
Enterprise Director / Business Intelligence
Responsibilities:
- Accountable for the architecting, development and implementation of a real time big data (streaming data) collaborative intelligent by-directional trading pattern and financial analysis system for the SEC
- Development, deploy and implanted multiple big data scientific engineering and real time analysis solutions for the NSF.
- Direct accountability, leadership and recommendations for multiple Confidential agencies big data and cloud business intelligence technology directions and projects.
- Responsible for delivery of a big data parsing patent abstract search solution for the USPTO
- Created, deployed and delivered multiple big data commodity coded map reduce algorithm solution sets
- Architected, formulated and delivered to multiple Information technology steering committees and executive Government officials and managers.
Confidential
Pre Sales Engineer
Responsibilities:
- Fully accountable for the architecting a successful storage, backup, disaster recovery, high availability, high performance computing, cloud computing and analytic solution
- Architected and programmed a high-performance map reduce solution set for the processing of multiple computational fluid dynamics analysis’s
- Architected multiple storage, backup and high availability, disaster recovery data storage enterprise infrastructure solutions, including production operations, disaster recovery resource managements. Accountable for decreasing enterprise costs in parallel increases enterprise storage utilization, disaster recovery and high availability utility computing ratings and service deliverables.
- Architected, coded and deployed enterprises utilizing technologies Teradata, Java, Lustrer / Linux and RDBMS solutions.
- Evaluating, architecting and implementation new storage and backup solutions and consolidations.
Confidential
Enterprise Architect / Business Intelligence Manager
Responsibilities:
- Required to provide management for customers to understand the enterprise computational needs to architect a data storage / HA enterprise solution in an ITO (Information Technology Outsourcing) environment.
- Management and ongoing development for all outsourcing's storage and backup customers’ solutions.