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Big Data Principal Consultant Resume

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Cincinnati, OH

SUMMARY:

  • A seasoned consultant with expertise in managing delivery, project management, portfolio management, system analysis, design, development, testing, technology roadmap development and presales consulting involving big data, data warehousing, data analysis and business intelligence spanning multiple functional domains including Automotive, Health Care, DHS, Confidential, Health insurance, Banking and other federal and commercial sectors.
  • Experienced in leading client engagement and developing plans and strategies of data management processes for the clients, providing hands on assistance in data modeling, technical implementation of vendor products and practices.
  • Experienced in providing pre - sales technical support on Big Data opportunities to international clients on behalf of the Big Data COE.
  • Experienced in building roadmap for clients as part of sales efforts to promote incremental wins using Big Data technology.
  • Experienced in gathering requirements, elaborating requirements analysis, deriving the technical requirements, scoping design, develop overarching solution architecture and estimate efforts.
  • Experienced in assessing and scoping customers business requirements and developing technical solutions to meet customer’s needs, advising customers on appropriate Big Data & BI tools to use to implement the solution for maximizing the ROI.
  • Experienced in facilitating and guiding the clients and teams towards building information architecture and interfacing between Business leadership, Tech leadership and the delivery teams.
  • Experienced in supporting business development and ensuring high levels of client satisfaction during delivery.
  • Experienced in contributing to the thought capital through the creation of executive presentations and architecture documents.
  • Experienced in scoping client requirements, specifying solutions and articulating value to customers.
  • Experienced in providing best practice advice to customers and team members.
  • Experienced in conducting JAD sessions with the End-users, gathering requirements and convert into technical documentation.
  • Experienced in designing and implementing data warehousing, data analysis and business intelligence projects for federal clients and commercial clients.
  • Experienced in Project Management, System Analysis, Business Analysis, Data Analysis, Data Modeling, Data Warehousing, Business Intelligence, Data Analysis, EIS/DSS Reporting, Visualization & Interactive Dashboard development.
  • Experienced in building a Big Data team from ground up, developing the roadmap for the big data unit, mentoring the team in building POCs and presenting solution architectures to multiple international clients for promoting big data capabilities.
  • Possess a good technical understanding of the Big Data Ecosystem components including Apache Hadoop, Spark, Hortonworks, Cloudera, Cassandra, HBase, Splunk, Flume, Sqoop, Kafka, Hive, Pig and AWS

TECHNICAL SKILLS:

Big Data Ecosystem / Data Science: Big Data Ecosystems including Apache Hadoop, Cloudera, Hortonworks, MapR, Hive, Pig, Apache Spark, Apache Flume, Apache Kafka, Apache Sqoop, Tableau, DataRobot, Chef, Puppet, Docker, Data Robot

Data Warehousing Tools: ETI, ELT, SSIS, SAS Base, SPSS

Business Intelligence, Data Analysis & Visualization Tools: Humming Bird BI Suite (BI Query, BI Analyze, BI Cube Creator) Tableau, SPSS Clementine, SAS Enterprise Miner, MiniTab OBIEE 11g, Oracle Apex

Languages / Tools: C#, Java, JavaScript, PL/SQL, Excel VBA, Servlets, JDBC, REST API, Apache Tomcat, .Net 2.0

Relational Databases: DB2, Oracle, MySQL, Teradata

NOSQL Databases: HBase, Cassandra

Additional Tools: ERWIN, Eclipse, Visual Studio, Maven, Git, Jira

O/S: CentOS 5.0, Ubuntu 14.04, Windows 7, 8, 10

Project Management: MS Project, Jira, MS Excel

PROFESSIONAL EXPERIENCE:

Big Data Principal Consultant

Confidential, Cincinnati, OH

Tools / Technology: Big Data Ecosystem (Hadoop, Cloudera, Hortonworks, Spark, NOSQL)

Responsibilities:

  • As a Big Data Principal Consultant, worked with multiple clients in the East Coast across various domains including Healthcare, Publishing, Manufacturing, Data Resellers and Finance in presenting big data solutions, proposing data lake road maps, conducting data science POCs using Data Robot, developing technical materials for training in the big data ecosystem, developing big data artifacts for pre-sales and executive briefing.

Big Data Consultant

Confidential, Flushing, New York

Responsibilities:

  • As a big data consultant, worked in developing big data training materials for Hadoop Hive, Pig, Kafka, Flume, Spark.

Technical Project Manager

Confidential, New York City

Tools / Technology: MapR, Pig, Hive, Shell Scripting, MS Excel

Responsibilities:

  • As a technical manager for Performance Marketing Project within Risk Management group at Confidential, managed a team of six members in performing day-to-day activities related to PMP (Performance Marketing Portal) web-tool that integrates and manages big data movement between the Confidential data platform (Janus) and third party data integrator (Acxiom), data ingestion, data preparation and transformation necessary for profiling the customer base, developing predictive models to score the customer base, using the profiled customer base to make recommendations to data partners for promoting products to new customers via the store’s mobile app and migrating the scored dataset from Amex/Acxiom environment back to the data partners.
  • Conducting daily stand-up meeting, developing backlogs, epics, user stories, sprint time-line, validating the technical solution for complex big data ETL/ELT tasks, reporting to senior management on the status and progress of the team.

Delivery Head & COE Lead

Confidential

Tools / Technology: Apache Hadoop, Cloudera, Hortonworks, MapR, Cassandra, NOSQL

Responsibilities:

  • Managing a team of 40 members comprising a delivery manager, five team leads and 35 developers in the Big Data lab.
  • Recruiting members from the Confidential ILP and training in Big Data and Analytics technologies
  • Developing a Big Data road map for the Chennai Delivery Center.
  • Identifying key use cases for Banking, Airlines, Telecom and mentored the team members in understanding the requirements to build POCs using Hadoop clusters in the Kochi Data Center.
  • Mentoring the team on self-development and leadership capability development on a daily basis.
  • Collaborating with multiple client verticals (accounts) to study their business processes for their existing client projects and recommending solution architecture using Big Data technology components.
  • Collaborating with DTCC account in studying their BI processes and deploying our team members in that account for building MPP database solutions.
  • Collaborating with Morgan Stanley account in understanding the pain areas related to server log analysis and deploying a five-member team from our lab to develop machine learning models and building analytic solutions.
  • Collaborating with the Tata Communications team in studying their requirements and deploying a two-member team from our lab team to build a big data solution.
  • Visiting Elisa Telecom, Helsinki, Finland (on invitation from the CEO of Elisa Telecom) for a 10-day trip in March 2014 and building a big data roadmap based on industry approach, investment requirements, their s/w licensing budget, data offloading requirements for Hadoop and potential ROI.
  • Provided pre-sales technical support on any Big Data opportunities
  • As an Analytics SME for a multitude of technologies, collaborated with multiple vertical accounts and gathering technical requirements, scoped work efforts, designed solution, peer reviewed solution architecture, estimated effort for process implementation.
  • Assessing and scoping technical solutions to meet customer’s needs, optimizing for maximum value.
  • Advising prospects on the Hadoop ecosystem, database platform and BI tools via numerous presentations.
  • Providing weekly status update to management on progress across multiple opportunities.
  • Studying the client portfolio across multiple vertical accounts and being instrumental in developing POCs in the Big Data lab for developing solutions to pro-actively win the client projects.
  • Developing a one-year road map for building the COE.
  • Developing a training plan for the team to learn and perform in the Hadoop ecosystem.
  • Providing guidance for building Hadoop functional testing and performance testing process handbooks.
  • Developing a methodology for converting the process handbook concepts into technical artifacts.
  • Facilitating training in Big Data and collaborating with a retail client to develop thought leadership in Big Data Test Automation.
  • Attending the National Software Testing Conference 2014 and coming up with recommendations for implementing big data testing approaches as per industry best practices.

Project Manager cum Tech Lead

Confidential, McLean, Virginia

Tools / Technology: Oracle 11g, Java Script, Oracle APEX

Responsibilities:

  • Conducting daily scrum and developing schedule estimates for the project, supporting the development of technical design and detail design documents for NLD Release 3.5, taking ownership for redesigning the media file submission process, building a prototype for the new media submission process, overseeing the promotion of software releases across development, test and production environments.

BI Development Lead

Confidential, Arlington, Virginia

Tools / Technology: Oracle Database 10g, OBIEE 10g/11g

Responsibilities:

  • studying the data and ETL layer of the existing application, making recommendations for data architecture changes, meeting with Confidential functional experts to verify the application business rules, modifying the OBIEE data repository, designing OBIEE reports and dashboards in OBIEE 11g, managing the OBIEE server catalog and repository backup tasks, mentoring junior team members in designing complex SQL, interviewing potential candidates for hiring, developing the project work breakdown structure, participating in data architecture & project steering committee meetings, setting up the BI development server (Java, Oracle 11g, Oracle Web logic Server, OBIEE 11g), developing pilot projects for client approval for the development phase, redesigning the logical data model, maintaining the data repository and web catalog, redesigning the logical data layer, developing BI reports and dashboards, performing peer review, mentoring team mates, reviewing schedule estimates, supporting the testing team and all aspects of application SDLC.
  • Received Booz Allen Hamilton’s Performance and Team Award for client management during vendor transition of the migration project from a third party vendor to Booz Allen.

BI Dashboard Architect

Confidential, Washington, DC

Tools / Technology: Oracle Database 10g, Oracle Hyperion Interactive Reporting 11

Responsibilities:

  • Responsibilities included building the data transformation layer using Oracle PL/SQL, building the Interoperability Dashboard using Oracle Hyperion Interactive Reporting, setting up the Oracle 10g development server, importing Interoperability Data into the Dev server, developing SQL scripts to transform the source data for dashboard consumption, developing the functional and technical design documentation for the dashboard.
  • Received Booz Allen Hamilton’s Performance and Team Award for development of the efficient data layer for feeding the Interoperability Dashboard.

BI Team Lead

Confidential

Environmental Protection Agency, Mclean, Virginia

Tools / Technology: Oracle 10g, SAP Business Objects XI 3.1

Responsibilities:

  • As a team lead, participated in developing BI reports using SAP BO XI R3, mentoring the team on technical enhancements to the data layer, participating in design meetings related to BO Universe enhancement, data analysis and report generation.

BI Team Lead

Confidential, Washington, DC

Tools / Technology: Oracle 10g, SQL Server Enterprise Edition (SSDB, SSRS, SSAS, SSIS)

Responsibilities:

  • Responsibilities included: Studying the existing BI architecture and proposing an alternate architecture, developing an informal proposal for system migration, presenting the proposal and receiving approval from the client, developing the System Requirements Specification (SRS) document using Open Process Framework template, developing data flow diagrams for certain sections of the soldier case processing application, preparing the project plan for data and reports migration from the old system to the new system, designing and executing database migration using SSIS, designing and building reports using SSRS, designing data analysis. procedures using SQL, performing basic DBA tasks - such as SQL Code optimization and database backups, studying the report requirements and report artifacts.

Data Modeler

Confidential, McLean, Virginia

Tools / Technology: ERWIN Data Modelling

Responsibilities:

  • As a data modeler for the Confidential project, responsibilities included: studying the report requirements and report artifacts, developing conceptual and logical dimensional ERWIN models for the Confidential data warehouse, developing “Requirements vs. Data Elements” matrix, developing the data flow architecture.

Development Lead

Confidential

Tools / Technology: C#, ASP.NET 2.0, MS Excel VBA

Responsibilities:

  • As a development lead, participated in architecting, designing, developing and testing the Claim Risk Segmentation web tool using C# & ASP.NET 2.0, developing a Compensation Rate Calculator (CRC) and Wage Wizard engines using Excel VBA.

Data Architect

Confidential, Houston, Texas

Tools / Technology: SAP BW

Responsibilities:

  • Developing a detail design for importing the data from multiple data sources into SAP BW, designing the data flow through the three phases (data source to PSA, PSA to ODS and ODS to Info Cubes), identifying the calculated key figures that needed to be calculated at the transactional level, designing the data structure for the ODS data objects for each business unit, producing a matrix that illustrated the relationship between the key figures and characteristics necessary for Sales and Budget Info Cubes that would feed the Mid-Office reports for each business unit.

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