We provide IT Staff Augmentation Services!

Big Data Sme/data Scientist Resume

3.00/5 (Submit Your Rating)

DC

SUMMARY

  • Accomplished Subject Matter Expert (SME) in big data ecosystem, data governance, enterprise data warehouses, business intelligence, data analytics, relational - database management systems and spatial database systems. Skilled professional with proven ability to super-charge IT departments and programs. Highly proficient at authoring and reviewing proposals.
  • Well-connected and successful at business development. Strong background in consulting and management within US Federal agencies and commercial corporations. Proficient at making presentations and communicating with peers including corporate and government senior executives.

TECHNICAL SKILLS

Big data: Hadoop, MapReduce, Hive, HBase, Pig Latin, Mahout, Flume, Sqoop, Ambari, Zookeeper, Oozie, NoSQL Data Stores (MongoDB, Cassandra and Neo4j), Semantic Web

Structured Data/RDBMS: Enterprise Data Warehousing, Oracle 11g, Oracle Spatial, Teradata, MySQL, Oracle Data Integrator (ODI), Oracle EDQ, Oracle Datanomics, OBIEE, ETL/ELT, Websphere, Informatica PowerCenter

Analytics: Data Mining, Predictive Analytics, Machine Learning, Tableau, R including many packages, RapidMiner, SAS, SPSS, MATLAB

Programming Languages: Java/JEE, XML, C, C++, SQL, PL/SQL, Perl, Python, JavaScript and R

Operating Environments: Distributed File Systems, Cloud Computing, Microsoft Windows, Linux, Solaris, Fedora

Statistics and Probability: Multivariate Statistics and Analysis, Probability Distribution, Decision Trees, Monte Carlo Simulation, Bayesian Networks, Systems Theory, Finite Element Analysis

PROFESSIONAL EXPERIENCE

Confidential, DC

Big Data SME/Data Scientist

Responsibilities:

  • Inventoried current baseline of data environments, applications, and research related analytical software
  • Inventoried current research use cases
  • Evaluated current research data, data environments, and architecture including modeling and simulation, analytical tools and GIS environment
  • Evaluated emerging APIs and data environments for incorporation of new functionality, specifically data sharing and exchange
  • Collected and documented current and future state requirements
  • Identified known gaps in current state’s support for requirements and future state use cases
  • Developed future state research use cases
  • Identified and documented Research Data and Technology performance goals and metrics
  • Collected data and conducted analysis in support of teh development of teh Concept of Operations
  • Provided recommendations for meeting teh identified requirements and performance goals
  • Documented impacts and risks associated with change
  • Developed future state architecture for Research Applications/Systems and Data Programs based upon requirements and performance goals
  • Developed a Roadmap and High Level Plan for Implementation
  • Conduct all other tasks required to support development of teh CONOPS and authored teh Data Asset Baseline, Requirements Specifications and Concept of Operations documents
  • Architected a big data infrastructure for implementation including HDFS, MapReduce, HBase, Hive, Pig and NoSQL data stores such as Cassandra
  • Authored white papers on cloud-based backup and recovery for teh Department of Justice

Confidential

Big Data Architect/SME

Responsibilities:

  • Architected and engineered big data Implementations for teh public sector
  • Developed big data Concept of Operations for Federal Agencies
  • Authored training material on big data technology stack
  • Implemented long-term strategic goals and short-term tactical plans for managing and maintaining systems and software. Designed, developed, and guided implementation of end-to-end integrated systems
  • Authored and reviewed proposals in response to Federal RFIs and RFPs. Forged alliance with large and small business for partnering on Federal contracts. Generated leads and networked with decision-makers
  • Performed big data processing using Cloud Computing, Hadoop, MapReduce and NoSQL databases
  • Architected data analytics systems and initiated a Data Sciences practice
  • Authored white papers on big data, cybersecurity and geospatial informatics
  • Modeled business and system processes based on findings through use case scenarios and data models
  • Provided technical expertise to business analysts, data analysts, DBAs, and developers
  • Applied best practices and standards including TOGAF, DAMA and OMG to create data architecture artifacts
  • Developed Level 0, 1, and 2 Data Flow Diagrams and System Context Diagrams
  • Developed conceptual and logical data models for assessment systems in alignment with IT Roadmap and vision
  • Architected teh Master Data Management model and metadata repository implementation
  • Mapped key data objects to business processes
  • Created data security view, data component sourcing, application / data matrix, data entity to business process matrix, data dissemination diagrams and data topology mapping
  • Conducted risk assessment and gap analysis of systems and data architecture artifacts
  • Facilitated information management practice, architectural guidelines, framework and policies
  • Hands-on experience with business intelligence, data integration and data quality tools including Oracle Business Intelligence Foundation Suite
  • Authored system specifications document and technical design documents (low- and high-level)
  • Created an options analysis framework to assist with comparison of alternative solutions
  • Developed an Activity Based Costing (ABC) cost model for enterprise data services

Environment: Oracle 11g, ODI, EDQ, Oracle SOA Suite, JEE, Oracle BI, Informatica Power Center Erwin, OBIEE, WebLogic, Hadoop, Map Reduce, Hive, HBase, Pig Latin, Mahout, Flume, Sqoop, Ambari, Zookeeper, Oozie, NoSQL Data Stores including MongoDB, CouchDB, InfoSphere, JEE, ADF, APEX, R, SPSS, Erwin, Visio, Logizian.

Confidential, Virginia

Chief Software Architect

Responsibilities:

  • Architected data warehouses consisting of relational and spatial entities
  • Created logical and physical data models and developed algorithms to create data marts of spatial geometries
  • Used ETL tools for extraction, transformation, loading and integration of data from disparate sources
  • Resolved data consistency issues by constructing and executing complex SQL queries
  • Developed applications to retrieve and analyze data using J2EE, custom-developed MAFTIGER APIs
  • Resolved anomalies and geometric distortions (zingers, zig-zags), and supported high volume transactions
  • Collected and analyzed performance metrics by concurrently monitoring teh database and application servers
  • Implemented coupling, cohesion, concurrency, caching and data structures in application design
  • Designed and developed teh Population Count Review System website using ESRI and ASP.NET technologies
  • Developed test plans and acceptance criteria based on technical and specifications for public domain apps
  • Maximized productivity and cut costs by automating business processes
  • Created algorithms for randomly generating data for teh Master Address File data warehouse in a private cloud
  • Provided expertise with design and development of GIS applications to teh client
  • Earned Employee Service Award and recognition from senior management

Environment: ESRI, Oracle 11g (RDBMS and Spatial), ODI, WebLogic, Hadoop + Map Reduce, JEE, ADF, Perl, PL/SQL

Confidential, Virginia

Contractor, Operations Manager

Responsibilities:

  • Provided application service management to teh FDIC client
  • As a leader of teh Operations and Maintenance (O&M) team, provided application, configuration, release management, capacity planning and resource management to teh client
  • Provided business development services including proposal writing, proposal management, gate reviews and strategic planning to teh program manager and teh account manager
  • Interacted and communicated with vendors regarding service offerings and teaming agreements
  • Contributed to revenue growth through a SOA contract award of $3 Million from FDIC
  • Improved contract performance by streamlining ad-hoc processes

Environment: Oracle 11g, Websphere ESB, SOA, InfoSphere, Rational Architect, JEE, Cognos, SharePoint

Confidential, Virginia

Program Manager

Responsibilities:

  • Architected solutions in EDW data modeling, ETL, data quality, and performance optimization
  • Prepared SOWs, coordinated with subcontractors, and supervised staff of several data analysts, and Oracle DBAs
  • Created and maintained teh Project Management Plan, Performance Management Plan, Risk Management Plan, Quality Assurance Plan, Knowledge Transfer Plan and Transition Management Plan for teh IRS EDW Branch
  • Used Earned Value Management System for project performance management
  • Enforced measures to improve staff performance, quality of service and products provided to teh customer
  • Provided weekly status reporting to teh client, teh project team and corporate management
  • Chaired weekly technical sessions and project meetings
  • Earned Internal Revenue Service Modernized eFile (MeF) Award
  • Served as teh Lockheed Martin Information Technology Subject-Matter-Expert (SME) on teh Operations and Maintenance Transition Team at teh Department of Labor

Environment: Oracle 11g, WebLogic, JEE, Informatica PowerCenter, XML, ERwin, Oracle Designer

Confidential

Program Manager

Responsibilities:

  • Supervised a staff of 34 employees and contractors across multiple geographical locations and projects
  • Managed software development life cycle (SDLC), while ensuring compliance with CMMI, IRS ELC methodologies
  • Created an integrated project management plan and integrated project schedule
  • Generated $2M in additional revenues in first 3 months through technology enhancements
  • Acquired additional $0.5 million business from teh IRS client by delivering focused technology presentations
  • Trained and mandated teh staff to comply with teh various levels of security in compliance with FISMA and NIST
  • Acted as teh primary customer interface regarding all contractual communications
  • Delivered products on-time and within budget by managing scope control and change impact on tasks
  • Conducted risk assessment to minimize application life cycle costs and managed issues on a daily-basis
  • Participated in strategy sessions with senior management. Recognized for maintaining 100% staff retention

Environment: Oracle 10g, J2EE, PL/SQL, Informatica PowerCenter, XML, .NET, C#

Confidential, Virginia

Task Manager/Program Manager

Responsibilities:

  • Supervised 35 analysts, programmers, DBAs, testers, and subcontractors
  • Architected, designed, developed and managed teh National Address Data Warehouse
  • Designed and developed data marts for three- and five-digit zip codes, counties and locatable addresses
  • Standardized commercial and non-commercial addresses and created a matching algorithm
  • Architected Geographic Information System (GIS) Interfaces and spatial topology
  • Improved project performance by implementing CMMI L3 processes. Collected, managed and analyzed KPIs
  • Created project management plan, work breakdown structure and project schedule
  • Managed project risks and issues by maintaining a problem log. Conducted monthly reviews with teh COTR
  • Prepared and managed budget and projections for teh corporate executives
  • Served as teh principal data architect. Architected data warehouses for clients including HP, Legg Mason, Perfumania, Hersheygifts and AllBooks4Less e-commerce sites
  • Architected and developed automated provisioning processes for Solaris, HP-UX, Windows NT, Oracle, Microsoft SQL Server, PeopleSoft, Siebel, SANS, web servers and application clusters
  • Analyzed plans, policies, and new program initiatives to determine costs and profitability in DC operations
  • Recommended business controls to management for strengthening and improving operations
  • Provided expertise as enterprise-wide, cross-functional technical resource to teh various business units
  • Recommended improvements to teh enterprise infrastructure architecture to streamline service offerings

We'd love your feedback!