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Data & Analytics Architect Resume

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SUMMARY:

  • Chief Data Architect /Manager with over 16 years of experience in offering Data, Analytical and BI technology solutions with very well defined business values.
  • Primary goal is to provide strategic vision & tactical directions in Data Management and Analytics at Enterprise Level.
  • Great leadership qualities to drive a team size of 20+ and annual budget of $5M to get to tangible business values are the key focus. Core competencies includes
  • Strategic Planning, Road Mapping and Execution
  • Result Oriented Leadership & Directions, Team building, Problem Solving
  • Client/Partner Relations, Revenue driven Customer success management
  • Drive operational metrics and insights into global service organization
  • Excellent Communication skills - written, verbal - keynote and or elevator pitch
  • Leadership on BI, Data Engineering and Analytics Organization
  • Expertise in Data Migration/Conversions with Data Architecture Best Practices
  • Building Enterprise Data warehouses, Data models and BI following Kimball Approach
  • Translate Business requirements in to simple layman’s terms and also to technology team.
  • Influence peers, leadership team and stakeholders driving towards results
  • Demonstrate deliverables building Proof of concept
  • Data Analysis, Data Modeling, Data Mapping, Transformation & Loading
  • Technical Leader implementing UI and UX with Traditional & Big Data Eco System
  • Business Areas: Supply Chain, OM, Sales, Finance, Marketing, Retail, wholesale, Click stream web analytics, HR and Sales Compensation
  • Tableau Trainer, Speaker. Hosting Silicon Valley SMB Tableau user group Events(@svsmbtug)
  • Account, Relationship Management with Key Performance Indicators.

TECHNICAL SKILLS:

Data Integration & Management: BODS, BODI, Informatica, Talend, SSIS and PL/SQL

Data sources: SAP R/3, Oracle EBS, SFDC and Custom Built ERP - Rx solutions

Data Modeling: Erwin, ER/Studio and Data Virtuality.

Databases: MSSQL Server, Oracle, DB2, Netezza, Teradata, Redshift and Big Data

Big Data Eco System: Hadoop, Hive, Map Reduce, Spark, Kafka, Sqoop and Oozie.

Programming Languages: Java, JIRA, Python and R statistical Analysis

Presentation Layer: SAP IBP, Tableau, OBIEE, Looker, Business Objects and MicroStrategy

On Premises and Cloud Technologies: AWS - EC2, S3, Redshift, Tableau.

PROFESSIONAL EXPERIENCE:

Confidential

Data & Analytics Architect

Responsibilities:

  • Prototyped the solution in Tableau and Looker demonstrated and deployed.
  • Designed and developed Redshift and Tableau solution design for Datawarehousing
  • Installed and configured Tableau Enterprise and Desk top following best practices
  • Understand business requirements and built dashboard visualizations using Tableau.
  • Publish Tableau dashboards with optimal performance
  • Loaded the aggregate data into Redshift for reporting, dash boarding and ad-hoc analyses, which revealed ways to reduce manual work by 80% and operating cost savings by 20%
  • Installed, configured and Data Loads-Kafka, Spark, Hive and Apache Hadoop
  • Define and Manage - Data Governance, Policies, Standards and MDM
  • Documentation of entire processes and methods for reusability.

Environment: AWS (S3, Talend, Redshift), Kafka, SparkStreaming, Hive, Sqoop, Oozie, Hadoop and Tableau

Confidential

Presentation Architect

Responsibilities:

  • Implemented and Documented Tableau Administration best practices
  • Created and provided set of custom built usage report in Tableau
  • Number of Extracts and Reports were consolidated and tremendous savings in resources
  • Trained users on Tableau 9.0 with special features
  • Improved Tableau Adoption at various levels of the organization with interactive reports
  • Improved Performance on complex Tableau dashboards by SQL query tuning.

Environment: Oracle, Tableau 8.0 and Tableau 9.0, Informatica Powercenter, Visio and OBIEE.

Confidential

Data Architect / Project Manager

Responsibilities:

  • Designed and Implemented Architecture framework - Business, Technical and Enterprise Architecture
  • Implemented Documented web ex business processes as Data Flow
  • Strategic Assistance in defining and understanding Business and Data Flow processes
  • Created Data Flows that helped visual understanding of business processes.
  • Evaluated various technologies and provided recommendation including Tableau
  • Prototyped click stream solution in Tableau demonstrated and deployed.

Environment: Erwin, Red shift, Java, JIRA, Github, SSIS, Informatica Powercenter, Tableau and Hadoop Eco System, Togaf and Zachman Framework processes.

Confidential

IT Project Manager (BI/DW)

Responsibilities:

  • Created special dashboards in BusinessObjects for executive decision making.
  • Rebuild operational BI KPIs using BOBJ with SLAs met at near 100%..

Environment: Oracle, Informatica, Erwin, SharePoint, Informatica Powercenter, BusinessObjects and Remedy.

Confidential

Data Analyst/ Project Manager

Responsibilities:

Responsibilities:

  • Delivered multiple Projects
  • Installed and upgraded OBIEE to 11g
  • Installed and configured Tableau - Administrated and built UI/UX in Tableau for Adoption.
  • Allocation shipment and billing goals and attainment were improved by 50%

Environment: Linux, Oracle, OBIEE11g, Java, Red shift, Tableau, Big Data, Hadoop Eco System

Confidential

Data Architect/Project Manager

Responsibilities:

  • Define Develop and Enforce data standards, procedures, guidelines and policies that meet strategic information requirements
  • Develop and interpret key performance indicators (KPIs) to measure the effectiveness of data management processes.
  • Enforce Data modeling standards and best practices across EDW and NRT layers.
  • Installed and configured Tableau - Administrated and built UI/UX in Tableau for Adoption.

Environment: Oracle EBS, Business Objects, Informatica Powercenter, ER Studio, Teradata, Informatica, Java, OBIEE & Tableau.

Confidential

Data Architect

Responsibilities:

  • Provided long term strategic vision in Data Management and BI Architecture
  • Work closely with solution architects and SMEs to design data & BI services that are scalable and highly available to users.
  • Develop and interpret key performance indicators (KPIs) to measure the effectiveness of data management processes.
  • Query performance tuning of EDW data which saved the data extraction time by 50%
  • Reduced annual expense by 35% through architecture simplification and process optimization
  • Enforce Data modeling standards and best practices across EDW and NRT layers.
  • Define and Manage - Data Governance, Policies, Standards and MDM
  • Installed and configured Tableau - Administrated and built UI/UX in Tableau for Adoption.

Environment: Oracle EBS,Java, Siebel, SAP, Erwin, Informatica Powercenter, Tableau and MS Project

Confidential

Data Architect/Manager

Responsibilities:

  • Cross functional team communication to manage multiple projects.
  • Developed key performance indicators (KPIs) to measure the effectiveness of Comp data
  • Query performance tuning of compdata which reduced the extract completion time by 50%
  • Streamlined the Commissions operational process and shorten the monthly pay cycle by 50%.
  • Reduced annual expense by 35% through architecture simplification and process optimization

Environment: Oracle DB, DataStage, Java, Oracle ERP, Siebel, SAP, MS Project and SharePoint.

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