We provide IT Staff Augmentation Services!

Bi Solution Architect Resume

0/5 (Submit Your Rating)

SUMMARY

  • Competent Professional with 12+ Years of experience in
  • Business Intelligence/Data Warehousing, Solution Architecting, Systems Development, Data Analysis, Data Modelling, Data Integration along with expertise in Project Management.
  • Expertise in Building and Implementing Large programs like Advanced Commercial Banking Systems(ACBS), Consumer Lending replacement, Basel II, Credit approval, Regulatory requirements etc. for Banking and Financial Domains.
  • Performed enterprise strategic BI DW Assessment and prepared roadmap based on the findings from the assessment process.
  • Defining and documenting the existing data architecture through gathering of requirements performing reverse engineering; interacting with end users, software developers and database administrators; designing and presenting data architecture to management; modeling the physical and logical data models of existing database structures.
  • Worked Closely with IT and Business units and translated the business requirements in to technical specifications.
  • Expertise in Data Analysis and producing Data Requirement Template(DRT), Data Requirement Document (DRD), Functional Design document(FDD), Detailed Design Document (DDD) and review with business for Formal sign off.
  • Competent in Data integration projects along with expertise in ETL design and development using informatica.
  • Well versed in Project Management, Project Planning, Estimation, Resource allocation, SOW, Project Approval, EMF, RFP etc.
  • Designed and implemented various automated solutions for process/performance improvements in data warehouse.
  • Data quality checks for key data elements and report the findings to business.
  • Expertise in executing projects related to Basel, Regulatory reporting, Credit risk management, RWA etc.
  • Business Intelligence Delivery Solutions.
  • ETL / Data warehousing design Solutions.
  • Architecture.
  • Data Analysis.
  • Data Modelling.
  • Project Management.
  • Customer Relationship.

TECHNICAL SKILLS

Skill: Informatica Oracle SQL Server Teradata Greenplum Autosys HPSM MKS Meta Data Repository(MDR) Linux Jira

PROFESSIONAL EXPERIENCE

Confidential

Responsibilities:

  • Defining and documenting the existing data architecture through gathering of requirements performing reverse engineering; interacting with end users, software developers and database administrators; designing and presenting data architecture to management; modeling the physical and logical data models of existing database structures.
  • Worked Closely with IT and Business units and translated the business requirements in to technical specifications.
  • Creating a framework for data governance and ensuring the data from new system is available for all the downstream consuming from data warehouse .
  • Design and implementing the Architecture to integrate data from multiple sources in to data warehouse and from there load into data into multiple Data Mart’s as per the business needs .
  • Working closely with downstream to understand the data requirements and ensuring those are transformed in to the Data Requirement Document (DRD) required for planning phase of project.
  • Created framework to document the End to end lineage starting from sources to its final landing zone for the existing process.
  • Data quality checks for key data elements and report the findings to business.
  • Performed enterprise strategic BI DW Assessment and prepared roadmap based on the findings from the assessment process.
  • Designed and developed ETL process for integrating the data from different systems and provision the data in data warehouse for downstream consumptions.
  • Working closely with business units in understanding their objectives and preparing the road map for the achieving the objectives and presenting the same to management for its approval.
  • Working closely with business to understand on the portfolio’s that are being migrated to new systems and its integration into the existing process.
  • Educating the business units in adopting the new technologies and process that could benefit and simply the data needs of the bank.

We'd love your feedback!