Chris

Senior Data Architect / Scientist

Magnum

Mar 2026 - Present • 7 mos

● Architected and deployed an enterprise Talent Skill Optimization platform through business/technology strategy, high/low-level solution design,) using Microsoft AWS Platform and AWS Native Technologies. ● Data Ingestion: Extracted relevant features/attributes from multiple sources (uploaded Resume and Job Descriptions from websites like- Dice , Indeed and Linkedin) using Beautiful Soup a and custom connectors. ● Processing & Quality: Transformed unstructured documents (PDF, Word, Text) into text using LangChain, ran full-dimensional data quality checks, and performed tokenization for LLM readiness. ● Built GenAI workflows using batch-fed tokenized data optimized for next-token prediction language modeling objectives. ● Orchestrated multi-agent systems and GenAI processes using Agentic AI frameworks and APIs. ● Developed using OpenAI GPT-4, Google Gemini, and Meta Llama 2 & 3, ChromaDB, Python, VS Code for full-stack AI development, LangChain, LangGraph, LlamaIndex, CrewAI, OpenAI Assistant API, AutoGen, and MetaGPT.

Senior Data Architect / Scientist

NTT DATA

Oct 2019 - Mar 2026 • 6 yrs 5 mos

Launch — Talent Skill Optimizations & Empowerment ● Architected and deployed an enterprise Talent Skill Optimization platform through business/technology strategy, high/low-level solution design, and data modeling (conceptual, logical, and physical using Erwin) using Microsoft Azure Platform and Azure Native Technologies. ● Data Ingestion: Extracted relevant features/attributes from multiple sources (Navigator, Resumes, Eightfold Job Descriptions, SharePoint, Learning Management System) using Fivetran and custom connectors. ● Processing & Quality: Transformed unstructured documents (PDF, Word, Text) into text using LangChain, ran full-dimensional data quality checks, and performed tokenization for LLM readiness. ● Built GenAI workflows using batch-fed tokenized data optimized for next-token prediction language modeling objectives. ● Orchestrated multi-agent systems and GenAI processes using Agentic AI frameworks and APIs. ● Developed using OpenAI GPT-4, Google Gemini, and Meta Llama 2 & 3, ChromaDB, Python, VS Code for full-stack AI development, LangChain, LangGraph, LlamaIndex, CrewAI, OpenAI Assistant API, AutoGen, and MetaGPT. ConvaTec — Performance Reporting and Data Analytics (PRADA) Enterprise Data Warehouse (EDW) ● Designed and delivered ConvaTec’s PRADA Enterprise Data Warehouse on Azure using Fivetran, ADF, Data Build Tool (dbt), Snowflake and snowflake related Technologies, Power BI, Azure DevOps, and GitHub. ● Led stakeholder engagement, business-process analysis, requirements management, and data architecture design. ● Built data models (Conceptual, Logical & Physical), source and target mappings, ingestion pipelines for 100+ sources, transformations, data-quality controls, and exception handling. ● Developed Power BI semantic models, and DAX measures for self-service analytics and Predefined Dashboards. ● Standardized data attributes, automated SharePoint-based data loading, maintained Jira/Confluence documentation, and implemented CI/CD .

Senior Data Architect / Data Scientis

Tech Mahindra

Sep 2008 - Sep 2019 • 11 yrs

TechMahindra — Senior Data Architect Sep 2008 – Sep 2019 Big Data and Analytics CoE — built and delivered enterprise Big Data / Analytics capabilities across telecom, aerospace, manufacturing, and airline accounts, covering churn management, customer segmentation, text/sentiment analytics, forecasting, and marketing mix modeling. ● Aircraft Health Management System (Bombardier): Architected an analytics/BI platform ingesting ~100GB/day from 60,000 aircraft sensors using HBase/Hive, Java EE, Python, R, and Qlik Sense for predictive and ML-driven insights. ● Spot Welding Defect Prediction (Volvo Cars): Delivered a predictive model (SQL Server, Microsoft R, Power BI) forecasting spot-welding defects from machine configuration and process parameters. ● Multi-Content Store & Analytics Platform (XURA): Designed a Hadoop-based platform (CDH) consolidating structured/unstructured data, saving ~$7M in Oracle/NetApp infrastructure costs. ● DWH & Analytics (Virgin Australia Airlines): Migrated ~7TB of staging/history data from Greenplum to HDFS, generating ~$2.6M in savings; directed Hadoop-based ETL using MapReduce. ● Predictive Maintenance & Quality (Navistar): Customized IBM PMQ with predictive maintenance and early-warning dashboards using SPSS, DB2, and Cognos. ● Anonymization Platform (Telefónica Germany): Delivered real-time telecom data anonymization (Kafka, Storm, HBase, Tableau) for regulatory compliance. ● PRISM Analytics Platform (TechMahindra IP): Architected a lean, cloud-based analytics platform (Hadoop, Spark, R, Tableau) that cut development effort/time by 50%. ● British Telecom (BTO, EIP Rationalization, DMS/D3T): Managed $0.5M–$2M program budgets, delivered 32 contracts via a factory delivery model, and enabled $4M in benefits through Data Management Services.