Arvind Ramalingam

Senior Consultant, Advanced Analytics and Data Science at Fresenius Digital Technology

Delivered end-to-end analytics solutions for Fresenius Group (FSE, Kabi, FMC, Helios, Vamed). Built and operationalized data integration pipelines across SAP ERP/ECC/HANA BW with Change Data Capture. Established analytics landscape using Azure Data Factory, Databricks, and DBT; implemented Data Lake/Delta Lake with Medallion Architecture. Developed GenAI capabilities leveraging Azure OpenAI services. Implemented Azure cloud solutions to extract material data from ServiceNow, Workday, SharePoint, Graph API, and REST APIs. Optimized performance for SAP connectors via ADF; built FinOps dashboards to monitor cloud costs; configured multi-node Azure Integration Runtime for fault tolerance. Created template-based Databricks pipelines to move data across medallion layers and reusable across projects. Deployed DBT as the reporting layer for ETL and governance, improving data quality and governance across pipelines.

Senior Software Engineer, AVP at Wells Fargo India

Data Analytics Lead delivering data and reporting solutions for the consumer lending domain. Led requirements gathering, SDLC planning, unit testing, code reviews, and UAT support. Designed and maintained data pipelines and data warehouse solutions; migrated SAS reports to SQL to reduce licensing costs. Key deliverables include: an Intelligent Question Answering System using NLP (custom NER, Spacy, BERT, LSTM) with cosine similarity; an Analytics Engine for Social Media Hashtag analytics; metadata management solution mapping business glossary terms to the data dictionary; Loss Mitigation Workflow Pipeline to monitor default borrowers and expedite remediation.

Module Lead at MindTree

Developed an Exception Based Planning report for a major retail client to optimize production planning. Responsible for translating functional designs into technical designs, modeling data concepts (conceptual/logical/physical), identifying required data sources, performing initial data profiling, and implementing Action Tree algorithms using SQL, SSIS and .NET. Collaborated with multiple vendors and engaged with end users (Supply Planners & Demand Planners) during workshops and UAT, ensuring high-quality outputs used by senior leadership.