Radha Jeyakumar

• Directed the enterprise “Green Shift” data modernization program, overseeing platform rationalization and large-scale ETL migration from Matillion to Informatica IICS, delivering $250K+ in annualized cost savings, improving operational efficiency, and establishing a standardized, future-ready data ecosystem. • Defined and enforced enterprise data security and compliance standards across Dev/UAT/Prod environments, implementing RBAC, PII masking, AWS Macie–based discovery, KMS encryption, and Secrets Manager, materially reducing regulatory risk and strengthening audit readiness across the organization. • Led the decommissioning of legacy GoAnywhere MFT, transitioning file transfer workloads to AWS-native services (Lambda, DataSync), improving platform resilience, lowering total cost of ownership, and generating $65K+ in recurring annual savings. • Championed AI-driven analytics enablement, delivering a Domo AI Agent that empowers business leaders with on-demand insights into shopper behavior and directly supports Walmart market basket analysis, media optimization, and revenue-focused decision-making. • Served as Executive Solution Architect and strategic advisor for Walmart Luminate, Media Analytics, and Consumer Experience initiatives, leading the onboarding of multiple high-value data sources into the enterprise data lake and Amazon Redshift to enable executive dashboards and advanced analytics. • Owned vendor strategy, contract governance, and executive negotiations (MNDA, SOW, CAR, MSA), driving cost optimization, enforcing delivery accountability, and mitigating financial and operational risk across strategic vendor partnerships. • Oversaw enterprise data ingestion and integration strategy across internal and external platforms (Sierra, Wonderflow, Sprinklr, WMS, Unger, RugDoctor), delivering a unified, trusted data foundation supporting sales growth, customer experience, and operational performance.

• Designed and automated enterprise-scale ETL/ELT pipelines using Matillion with AWS Redshift, improving data reliability, scalability, and load performance for a large data warehouse. • Built resilient REST API ingestion frameworks integrating Amazon Vendor Central (Selling Partner API), Amazon Advertising, Google Analytics 4, Sprinklr, Facebook Marketing API, iSpot.tv, and SA360, handling authentication, pagination, throttling, and schema changes. • Implemented secure authentication mechanisms using JWT access/ID tokens and refresh tokens, enabling compliant and automated access to AWS and third-party services. • Engineered ingestion pipelines for structured and semi-structured data from SQL Server, DB2, DynamoDB, and Amazon S3, optimizing transformations and load strategies into Amazon Redshift. • Developed AWS Lambda functions in Python to remediate upstream data issues, including automated Excel-to-CSV conversion, validation, and preprocessing prior to ingestion. • Extensively utilized Matillion iterators (File, Fixed, Grid) with environment and job variables to build parameterized, reusable, and scalable workflows across environments. • Integrated GoAnywhere MFT to securely ingest data from NAS and vendor-hosted SFTP systems into the AWS data lake, supporting downstream analytics in Domo. • Delivered ~$100K in annual cost savings by migrating Amazon Vendor Central integrations to the Selling Partner API, preserving critical sales, inventory, and deal-tracking insights. • Automated end-to-end ingestion workflows, eliminating manual processes, saving 25+ engineering hours weekly, and preventing approximately $70K annually in data quality and reporting losses. • Led a 5-member cross-functional team to design and launch a global Amazon sales dashboard spanning North America, Europe, and UAE. • Actively participated in Agile ceremonies and managed delivery using Azure DevOps (ADO) boards.

• Designed and delivered high-volume ETL pipelines using Informatica PowerCenter, processing 150M+ semi-structured records from 30+ source systems to support real-time and near-real-time analytics. • Developed complex PowerCenter mappings implementing business logic using Source Qualifier, Aggregator, Filter, Router, Lookup, Joiner, Update Strategy, and Expression transformations. • Partnered closely with Data Modelers and Business Analysts to translate functional requirements into scalable ETL designs while assessing downstream business impact. • Implemented end-to-end ETL workflows extracting data from SQL Server, transforming it per business rules, and loading into enterprise data warehouse targets. • Built and maintained Fact and Dimension tables, implementing Slowly Changing Dimensions (SCD Type 1 & Type 2) and Landing (LAD) tables to support historical and analytical reporting needs. • Created reusable mapplets to standardize transformations and improve development efficiency across the team. • Authored migration and deployment documentation, supporting controlled promotion of mappings across Development, Test, and Production repositories. • Optimized session performance using pre-session and post-session SQL commands, including index management (drop/recreate) and load tuning strategies. • Performed advanced performance tuning and troubleshooting, leveraging the Informatica Debugger to resolve data, logic, and runtime issues. • Developed comprehensive test plans and executed unit testing to validate mapping logic, data quality, and load accuracy prior to production deployment.