Data Solution Architect Resume
Charlotte, NC
SUMMARY
- Around 16 years of Leadership, Architecture, Design and Development of IT experience.
- Expertise on Pharmaceutical Commercial data, Retail Product Hierarchy, Capital Market, Insurance domain .
- Skilled Data Solution Architect who transforms business requirement into workable solutions by leading JAD session with Business.
- Extensive experience on Data Integration, Data Lake. Data Governance and BI Architect.
- Experience in leading cloud implementation of Data Engineering projects technologies (Azure Technologies and Snowflake) by collaborating with data engineers.
- Extensive experience in Agile based environment.
- Expertise in implementing End - End Data Governance - Data Lineage, Data Quality, Data profiling.
- Participate & lead in Data model, integration mapping & code review.
- Skilled in designing optimized enterprise process across business segments using robust data handling processes. Architect solutions that are reusable, maintainable.
- Experienced Technical Delivery architect with a demonstrated ability to forge trusted partnerships with clients, understand their Business & Strategy, and craft win-win proposals by mapping their requirements to the right technology and services.
- Responsible for leading data integration competency and build frameworks and Artifacts for DI competency, RFP solution and Assessment.
- Well versed with various types pf performance & parallelism techniques using Data, Component and Pipeline parallelism.
- Experience in defining data security standards such encryption, masking in data driven projects
- Expertise in designing generic config driven solutions for data integration platform which minimizes the development efforts,
- Experience in defining/designing non-functional requirements for data integration projects such as Error handling, Data movement controls, Data Quality & Audit controls,
- Providing expertise, mentorship, and solution reviews to multiple groups of ETL developers and provide standards, procedures, and best practices for data integration as per industry standards.
- Effective Leadership skills, communication skills, interpersonal skills, self-motivated, quick learner and good team player.
TECHNICAL SKILLS
Cloud Technology: ADLS2, Azure Data Factory, Azure Data Bricks. Azure data Explorer, Azure SQL DB. Snowflake
ETL Tool: SSIS,ADF Data Modelling SQL Developer
RDBMS: SQL Server, Snowflake, Oracle
Scripting: C# programming.
Project lifecycle Tools: JIRA
Tools: SSMS,TOAD, SQL Developer
Environment: Agile
PROFESSIONAL EXPERIENCE
Confidential
Data Solution Architect
Responsibilities:
- Responsible for end-end data engineering solution delivery and design.
- Architecture and design data solution for Creating Product taxonomy from different sources.
- Design Product taxonomy solution to apply recommendation as per analytical algorithm.
- Design and build Marketing cloud API and data distribution access layer for product taxonomy for downstream applications,
- Work closely with Data modeler and Business Analysis to come with Data model and business Rule’s solution for product taxonomy.
- Convert business requirement to technical solution to build product taxonomy.
Environment: Snowflake, ADLS2, Azure Data Factory, data bricks, Spark, Python, Azure Devops .
Confidential
Data Architect
Responsibilities:
- Responsible for lead and deliver end-end Cloud Data lake Framework development for Consumer Care Data Ware house integration .
- Architect and Design Configuration driven framework for ingestion, unification and curation
- Architect and design Event Audit Framework for ingestion, unification and curation.
- Architect and design for Hierarchical data pattern (Xml/Json) ingestion.
- Design and build DEP architecture to be cloud technology independent to have plug and play in any cloud environment with minimal changes.
- Architect & design data movement controls, Data Quality in motion for DEP Framework.
Environment: Microsoft Azure, ADLS2, Azure Data Factory, data Bricks, Azure SQL
Confidential, Charlotte, NC
Data Integration Lead
Responsibilities:
- Architect and design distribution framework to distribute data to consumers.
- Responsible for Co-ordination with different Source teams and analysis on Source data.
- Define standards, procedures, and best practices for data integration as per industry standards.
- Participates in overall data integration testing.
- Develops new documentation, participates in the development of department technical procedures and designs user guides.
Environment: SSIS, Oracle, MS SQL Server
Confidential, Princeton, NJ
Lead Designer
Responsibilities:
- Working as Lead Solution designer for CDR Datawarehouse.
- Integration of different source( External Sources as well as Internal ).
- Lead Data Quality and Express IT Upgrade and integration.
- Lead and Co-ordination on End -End testing of all the modules
- Implementation and Support all Data Quality Technical Issue.
- Analysis of Data profiling results, Co-ordination with business team decision making on all data decision.
- Responsible for defining data strategy for Historical Data so that a balance can be maintained between Space and speed.
- ETL Code review of SSIS Pipelines.
- Creation of High level and Low-level design documents for ETL.
Environment: SSIS 2012, SQL Server 2012,Microstrategy,Snowflake
