Suman Saha

• Directing Advance Analytics & Cognitive Automation Strategies across Taco Bell Restaurant and Marketing business and achieving enterprise goals
• Drove company-wide digital transformation efforts, positioning the organization for future growth in an increasingly data-driven world.
• Led cross-functional teams to develop comprehensive analytics strategies and roadmaps.
• Oversee the delivery and development implementation of the Agile Engineering teams
• Created highly scalable Architecture for High Throughput Low-Latency Data Pipeline and Batch process on AWS Cloud Platform.
• Implementation of Data Governance framework including Data Quality, Data Security, Data Lineage, PII and Metadata management for next generation data platform.
• ·Designed and Taco Bell business Data Lake and Data Mart in AWS cloud environment using AWS services like S3, Athena, Kinesis , Glue,Eventbridge, Redshift etc.
• Architected efficient alerting mechanism using AWS Cloudwatch, SQS and SNS queue, Lambda etc.

• Data Architecture advisor in Technology Center of Excellence
• Cloud Data lake architecture design in AWS cloud platform which ingests large amount of real time medical device data.
• Data Architecture framework creation for new use cases on Data Lakehouse designed on AWS S3 and Athena.
• Architected solution for Dynamic Data Validation framework over cloud data lake with automatic notifications.
• Data Governance platform creation using Alation over cloud which will manage all the data sources ,data Access rules metadata management following HIPPA rules
• Initiated MDM solution over patient for ResMed.

• Influenced projects/initiatives and drive decisions related to data including data quality, data architecture and data management best practices
• Provided expert data modeling and data validation services that produce flexible, extensible data structure design solutions that support effective business decisions
• Mapped entities to use cases and business requirements and assist in the development of data services.
• Created and manage and array of data design deliverables including data models, data diagrams, data flows and corresponding data dictionary documentation
• Developed standards for database design and implementation of various strategic data architecture initiatives around master data management, data quality, data management policies/standards, data governance and metadata management
• Created Metadata Management solution for Enterprise using Denodo Data Catalog.

Major Projects:

Cloud Data Lake for Prognostic Engine:

Prognostic and health management technologies reduce time and costs for maintenance of products or processes through efficient and cost-effective diagnostic and prognostic activities. Honda is using data lake built on AWS platform to process and curate raw data to create prognostic engine which will predict Battery life and Tire life of different auto models.

Enterprise Virtual Data Mart for Service Engineering:

Enterprise Service Technical Data Mart will be a one-stop shop for business to access all their current and future data needs for their analysis and predictive models. Logical warehouse created on Denodo Data Virtualization platform is fulfilling all the data needs from Business using the data at rest concept.

Global Intelligence of Quality:

Honda wanted to create a Global Quality Hub in Japan gathering all the regions Quality Data into a single repository and create an advanced analytical environment to serve the business requirements on quality. North America is one of the biggest data source of Honda Quality environment and that data will be migrated and federated in Japan global solution.

Warranty BI Solution:

Honda North America wanted to migrate their Warranty Reporting Platform from Legacy to Next Gen technology. As a part of that solution the warranty is landing in the Data Lake and then data will be cleansed, consolidated and migrated to Report mart for further reporting.

• Providing the Data Architecture Solutions to the different key accounts across the US including Big Data Platform in different industry verticals.
• Helps the clients to create the Data Governance and Data Management Frame work.
• Data Architecture solution for different Enterprise Data Marts.
• Managing small team of Data Architects and Data Designers.

• Successfully designed and architected the Integrated Data Warehouse in T-Mobile on Big Data platform using HIVE, HBASE and Teradata.
• Lead Data Architect for creation of Foundational Data Model for T Mobile Integrated Data Warehouse using Party, Subscriber, Product, Account, Address etc and managed a team of Junior Architects for each subject area..
• Took Lead to create Data Architecture Guidelines and Data Governance Framework in T-Mobile using the Teradata CLDM.
• Understanding of Telecom Customer, Subscriber, Product, Account, Campaign and Marketing Concepts.
• Data Architecture team manager for different modules.

Client : Toyota Financial Services, USA (TFS)

• Created a customized Metadata Management System for Toyota Financial Services for its Technical, Operational and Business Metadata Management.
• Lead Architect and Project Manager for the various business focus Enterprise Data Marts in Toyota Financial Services using Informatica as Major ETL tool.
• In depth knowledge of Consumer and Commercial Insurance business of Toyota Financial Services and architected the solution for Wholesale Insurance Mart for Toyota Financial Services using Informatica and Oracle.

Client - AT&T

The ABS Datawarehouse application has been developed on mainly NCR’s Teradata and Macromedia’s ColdFusion software, runs on Unix operating system. This application uses Teradata and oracle as its databases. The AT&T Business Services (ABS) Data Warehouse collects and stores billing information from various AT&T billing systems. The data is audited, aggregated and stored for historical examination, retrieval and extracting by the AT&T sales and marketing personnel. The warehouse is a centralized, integrated source of data for decision support.