Ganesh R.

About Ganesh R.

18 years of deep expertise, I specialize in designing and leading scalable, real-time, and high-performance Data & AI solutions across Fortune 500 companies. My work spans Data Analytics, Data Engineering, Data Architecture, Data Streaming, Observability, Governance, BI, Robotic Process Automation, Artificial Intelligence (LLM, Generative AI, AI Agent, ML/DL), CI/CD & Devops. Researched AI models & partnered with vendors to drive product improvements. Knowledge of Quantum Computing.I bring a strong track record in end-to-end global implementations across industries including Retail, Automotive, Finance, Healthcare, Life Sciences, Digital Marketing, Real Estate, EHS, and Technology, along with international experience in the USA, India, Singapore, and Amsterdam. Areas of Expertise: Data Analytics, Engineering & ArchitectureAI (Gen AI, AI Agents, ML/DL), RPABusiness Intelligence & Data WarehousingStatistical Modeling & Data ScienceETL, OLAP Cube Design, Unified Data ModelingQuery Optimization & Performance TuningProject & Program Mgmt. Agile/Scrum/Kanban, jira Core Technical Skillset:Data Analytics & VisualizationSQL, Pyspark, Databricks, Snowflake, Tableau, Power BI, SSIS, SSAS (OLAP), SSRS, Report Builder, Incorta, SAP BO, Informatica Cloud(IICS), Excel, Google Analytics, MicroStrategyRPA: Automation AnywhereGen AI & Agentic AI: Genie, Mosaic AI, AWS Bedrock, OpenAI, Anthropic Claude, Llama, LangGraphCloud PlatformsMicrosoft Azure, AWS, Google Cloud Platform (GCP), SalesforceDatabases & WarehousesSQL Server, PostgreSQL, MySQL, DB2, Redshift, Snowflake, Athena, Synapse, Azure SQL, BigQueryData Governance & Monitoring: MDM, Delphix, Collibra, DataDog, Lightup, Funnel.ioProgramming & Statistical LanguagePython (NumPy, Pandas, Scikit-learn, PyTorch, SciPy)R (ggplot2, dplyr, tidyverse, CARET)Query LanguageT-SQL, MySQL, PostgreSQL, DB2, HiveQL, U-SQLMDX, DAX, DMXBig Data & Streaming:Apache Spark, Data Lake, Qlik Replicate, Hadoop, Hive, HDFS, Sqoop, Cloudera Data Modeling & Architecture: Erwin, Visio, Lucidchart, DB Schema DevOps & OrchestrationAirflow, MWAA, Azure DevOps, AWS Step Functions, CloudFormation, Autosys, ASG Zena, Data PipelineCI/CD & Versioning: GitHub Actions, Terraform, Git, TFS, VSS, Vault Other Tools & PlatformsMainframe (RACF, DB2, PuTTY), MFT/FileZilla, Lotus Notes, Looker, Talend, QlikView, SharePoint Project & Program ManagementAgile/Scrum, Jira, Confluence, Office 365, Waterfall, JIT, Kaizen, Kanban, Six Sigma, Gantt ChartsEnd-to-end lifecycle from pre-sales to post-implementation

Experience

1. Data & Ai Solution Architect

   Skechers

   Jan 2023 — Present · US

   Leading Enterprise Data & AI/ML and RPA architecture initiatives across 40+ countries—including joint ventures, distributors, subsidiaries, and domestic and international operations. Driving data architecture strategy and analytics for International Planning & Merchandising, International Sales & Global Trade Services, Amazon Selling Partner & Vendor Central, SPS and Google Analytics, Real time streaming across retail, wholesale, e-commerce, sales, and inventory domains deploying cutting-edge cloud computing technologies, Databricks, Snowflake, AWS, Azure, Qlik, Kafka, Incorta, Tableau, Power BI, RPA, combined with advanced Generative AI, Agentic AI, Data Science and Machine Learning solutions with a focus on Data Governance, Data Observability, Data Reliability and Responsible AI to deliver high-impact business outcomes.

Education

• University of Michigan

  Specialization Program, Leading People and Teams Specialization

• Harvard Business School

  Business Analytics

• National Institute of Technology Rourkela

  Computer Science

• Harvard University

  Professional Certificate in Data Science

• Massachusetts Institute of Technology

  MicroMasters Program in Statistics and Data Science