DWBI Delivery Lead / Data Architect Resume

SUMMARY

Successful delivery lead, seasoned Senior Data Architect, hands on ETL architect, Proven data governance champion, BI & DW architect with a proven ability to drive and deliver transformational change using Agile and waterfall methods.
Track record of managing and developing high - performance teams and delivering complex global programs for 14+ years.
10 years of Pharmaceutical Industry experience and 5 years of Financial, Communication and retail industry experience
Excellent soft skills to manage bigger teams in various geography locations, effectively communicate with various business & technical teams and stake holders.
Expert in data migration focused on DWBI area. Extensive experience in large-scale ($40 million portfolio with 8 TB raw source data) data migration and system migration projects
Strong expertise as Solution Architect designing and delivering solution deployment architecture, Infrastructure sizing, performance and scalability options, benchmarking & tuning (application, database and hardware) for test, development and production environment
Defined Information Management strategy roadmap, data governance, DW best practices tailored to the applications and IT strategy for pharma company and implemented it successfully (2 million project value)
Successfully managed DWBI Production environment with 23+ team members from various geographic locations. In depth knowledge in Incident Management, Problem Management and Change Management.
Reduced the Time-To-Market (from receiving data to delivering for business use) from 3 days to 1 day by redesigning data loads and improving performance
Provided hands-on technical solution that reduced 500+ person hours development to 80 person hours.
Hired as a module lead, but within 3 months become complete data migration lead for a 40 million portfolio federal project
Won the Best innovation award in Finastra Hackathon 2018 for creating a POC to identify delinquent borrowers in advance using predictive analysis and machine learning (R language)
Defined DWBI Roadmap to move from Descriptive analytics to Predictive analytics using Self-Serve BI environment

TECHNICAL SKILLS

ETL Tools: Visual Studio 2017 (SSIS), Informatica PowerCenter 10.1.1/9.1, DataStage

BI Tools: SAP Business Objects, PowerBI, Tableau 8, Xcelsius 2008, Crystal Reports 2008

Database: Oracle 9i/10G/11G, MS SQL Server 2008/2012, Sybase 8.x

Collaborative: Visual Studio Team Services, TFS, GitHub, Jira

Data Modeling Tool: ERwin 7.3, Enterprise Architect by SPARX

Productivity Tools: MS Office, VISIO, Microsoft Project Plan

Defect Tracking Tools: Mercury Quality Center 7, Remedy on Demand, Service Now

Big data Platform: Hadoop, SAP HANA.

Other Platforms: Informatica MDM, Azure Cloud, Machine learning, AI, Microservice

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