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Solution Architect Resume

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PROFESSIONAL SUMMARY:

  • 10 plus years of experience in design, development and implementation of data warehousing applications for multiple domains like healthcare, life sciences, Banking, Manufacturing and retail industries.
  • Worked with clients to design and implement solutions on areas like data acquisition, batch and real time data integration, data cleansing and master data management.
  • Involved in EDW design, self - service BI enablement and the creation of BI reports and dashboards using market leading tools and technologies.
  • Hands on experience in using big data technologies and the Hadoop eco system.
  • Present area of interest includes analysis of unstructured data and its integration with a conventional data warehouse.
  • Building customer centric data warehouses for the healthcare and life sciences industries
  • Master data management, match and merge, de-duplication and data cleansing
  • Data modeling (OLAP and OLTP)
  • Source system analysis and standardization across disparate systems
  • Analysis of unstructured and semi-structured data using big data technologies and the Hadoop eco system
  • Working with high volume and varied data sets to derive analytical value from them
  • Batch and real time data integration
  • Performance tuning and benchmarking for analytical and transactional applications
  • Self-service and mobile BI using industry leading tools and technologies
  • Strong in SQL and PLSQL scripting
  • Lead projects for developing and implementing data warehousing solutions
  • Responsible for building a consulting practice to service clients from multiple domains.
  • Strategic planning and sales enablement.
  • Project Management and thought leadership skills
  • Solution Architect and technology brainstorming
  • Part of the consulting team responsible for customer engagements for multiple BI/DW solutions.
  • Part of multiple “deal-winning” proposals and defense meetings amounting to millions of dollars.
  • Driven the re-use of key concepts across different products and built consistent architectures from ground up
  • Presented ideas at conferences and architectural forums which were well received

SUMMARY OF TECHNICAL SKILLS:

BI & Visualization Tools: QlikView, iDashboards, OBIEE, Cognos, Business Objects, MSBI

ETL& Data Integration Tools: Pentaho, Talend, Informatica power center, Oracle Data Integrator, SSIS

Big Data Technologies: Hadoop Ecosystem (HDFS, Hive, HBase, sqoop), Windows HD Insight, IBM Big Insights

Predictive and Pattern Based Analytics: Quantum Leap Analyst (QLA) tool for pattern based and predictive analytics

Databases: Oracle, SQL Server, DB2

Design/Development Tools: Erwin, Toad, Oracle SQL Developer, Oracle SQL Developer Data Modeler

Languages: SQL/PLSQL, C, C++, Java, C#

Operating System: Windows, UNIX, Solaris

PROFESSIONAL EXPERIENCE:

Confidential

Solution Architect

Tools: Oracle 11g, Informatica 8x, Business Objects

Responsibilities:

  • Designing the data aggregation, storage and manipulation modules for the project.
  • He also worked on the metric calculation platform design and the BI analytical reports module
  • Data Integration and data mapping with source systems
  • Master data management schema design
  • Code review and unit testing
  • Data governance activities
  • Project management activities

Confidential

Solution Architect

Tools: Oracle 11g, Hadoop eco system (HDFS, Hive, Sqoop), Pentaho, Qlikview

Responsibilities:

  • Working with the customer to analyze the source systems and define the mapping between the source and target tables
  • He worked on design and implementation of the ETL jobs to load data into HDFS
  • He also worked on analysis of the data and finally loading the processed data from HDFS into the database
  • Define standard BI reports out of the processed data using Qlikview
  • Code review and unit testing
  • Project Management activities

Confidential

Data Architect

Tools: Oracle 11g, OSDM 3.0, Informatica 8x, OBIEE 11g

Responsibilities:

  • Working with partners and customers to identify patterns in their use cases and map them to the conceptual data model design
  • Creation of conceptual, logical and physical data model
  • Data Integration from sources to staging and from staging into the warehouse
  • He added various components during the design phase and also worked with senior architects in the team to decide on the partitioning and indexing strategies.
  • He built prototypes using OBIEE and informatica to demonstrate the flexibility of the model which were used to drive important POCs
  • End user training
  • Product release notes and installation document creation
  • Data Model Design review

Confidential

Data Architect

Tools: Oracle 11g, OSDM 3.0, Informatica 8.6, OBIEE 10g

Responsibilities:

  • Designing key architectural concepts like MDM and de duplication
  • Part of the design team that worked on HDWF data model from its inception.
  • Modeled some of the clinical and non-clinical subject areas of HDWF logical and physical data models.
  • Data model review
  • User training, release notes and installation guide preparation
  • Worked with the sales and consulting teams to help customers and partners understand and implement HDWF.

Confidential

Data Modeler

Tools: Oracle 11g, OSDM 2.0, OBIEE 10g

Responsibilities:

  • Ujjwal worked with Oracle product strategy and product managers to define the conceptual model.
  • He oversaw the extension of the conceptual model into logical and physical designs.
  • He defined the partitioning and indexing strategies that proved to be the key for meeting all customer performance SLAs.
  • Performance tuning of user queries
  • Design of the reporting module using OBIEE
  • Data integration from disparate sources
  • Code review and unit testing

Confidential

Data Architect, Data Modeler

Tools: Oracle 10g, OSDM 2.0, OBIEE 10g

Responsibilities:

  • Developing the conceptual, logical and physical data models for the product.
  • Worked with the reporting and ETL teams to ascertain a smooth transition of the design to the development teams.
  • Generation and maintenance of DDL scripts for the physical deployment
  • Data model review
  • .Product technical documentation

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