Nithin James Mathew

Skills : Snowflake, Azure, Erwin DM, SQL Server, Azure Devops,Github,Visio, Databricks,Postman, Python, SQL,Matillion,LucidChart

• Architected various meta-data driven frameworks for data ingestions, GDPR controls, Data Quality checks etc
• Worked as Data Architect to develop Snowflake Lakehouse to support Centralized Data Platform for leading General Insurance in UK
• Design and Implemented Azure Infrastructure and Data solution to migrate Policies from acquired Insurance companies to client Policy System
• Designed and Developed Snowflake Security Modules and Orchestration framework assets for leading life insurance client
• Worked on designing target data architecture for a Global Speciality Insurance client to reduce spending on legacy systems by 50%
• Lead the team to migrate legacy Datawarehouse to Snowflake for a leading Speciality Insurance client and saved over $2Mn
• Defined data strategy for a Global Health Insurance client by working with them to assess current state capabilities, identifying data challenges and documenting benchmark use cases which would help in building modern data platform at the Group level
• Led Azure Data Platform target architecture for a leading Insurance client
• Leading Azure CoE practice of EY AI & Data Team
• Determined business and functional requirements for business needs
• Led a team in delivering robust data services, setting and enforcing technical standards to ensure high-quality outcomes
• Drove improvements in data services, including the development and implementation of a new data platform, facilitating analytics and reporting
• Defined and optimized processes, leveraging best practices to enhance efficiency and effectiveness in data management and utilization.

Skills : Informatica, Azure, Snowflake, SAP BODS,Erwin, Power BI,Guidewire,Jira,Devops,Databricks,Python, SQL,SVN,Oracle,Azure Synapse

• Team Lead for various US Insurance engagements
• Developed various regulatory reporting frameworks for P&C Insurance clients to implement quickly and reduced build effort to 50%
• Lead Azure Data Engineer for Insurance Insight Platform
• Developed Quote Insight solution in Azure/Databricks for a major insurance client to improve their Insurance Quote Success ratio
• Developed standard insurance data models for clients
• Developed ISO Regulatory Reports for Insurance client in Azure platform using ADF/Synapse and reduced reporting errors, leading to 99% accurate reporting
• Built an unified insurance data management solution in Azure to help client save over .5$Mn related to license and upgrade cost associate with existing data platform
• Built a centralized data mart to hold the transformed data from various anonymous surveys in EY and integrate with other key data sources within the firm to analyze and generate metrics on Culture health of the organization.
• Boosted team morale with efficient leadership strategies.

Skills : Informatica,Redshift, AWS,Salesforce,Power BI,Oracle,Informatica Cloud, Autosys, SVN,Unix

• Lead Data Engineer for one of the top Global Life Science Company
• Developed Data solution for Global business review report which benefited Business in Increase Renewals, Grow Base Business, Standardize Tools and Process to Leverage Global Scale and Drive Commercial Excellence
• Developed Cloud POCs for client to establish road map for digital transformation and cloud journey
• Implemented Global Service Datamart to hold customer service and customer contract information including service tickets, instruments serviced, ticket labor costs, spare part service contracts etc
• And integrated with existing Sales, Global Customer and Global Product data domains
• Resolved performance issues in existing data pipelines with 100% success through accurate root cause identification
• Wrote and maintained technical and functional specifications to document ETL mappings and requirements.

Skills : Informatica, Netezza, Oracle, Unix

• Developed and enhanced Enterprise Data Warehouse for a Global Logistics Client
• Migrated legacy Datawarehouse system to Informatica/Netezza data platform and collaborates on building micro strategy reporting analysis
• Implemented Vnomics EOBR project for ingesting Vnomics data into Freight Business Intelligence data warehouse which will provide actual location & odometer data to support initiatives such as Pickup & Delivery Optimization, Safety, Linehaul
• Developed Safety Coaching project to help business to conduct coaching sessions for drivers who need improvement on their driving behavior which improved overall efficiency of drivers by 40%
• Ensured user acceptance, developing test cases and documenting results.