Arthi Sree

·  Working with an international data engineering team on a project in Databricks ETL, covering sales and controlling data previously maintained in SAP BW, built using the Medallion (BronzeSilverGold) architecture, with sources including SAP files, non-SAP systems, and flat files · Engineered idempotent Delta Lake upsert logic with composite key deduplication and YAML-driven column mapping configs per source · Following Agile methodology, with work planned and tracked in sprints on Azure DevOps · W

• Cleaned and validated sensor datasets using AWS Data Wrangler and developed Power BI visualizations for data interpretation • Conducted hands-on workshops on 3D printing and developed structured documentation for demo systems and workflows • Managed cross-team coordination for demo environment setup, ensuring stable operation for internal reviews and external demonstrations • Processed and structured sensor test data from .udf and .bin formats into CSV and Parquet for downstream analysis

Data Mining and Analysis for e-Learning Systems - GDPR Compliance and Privacy - Designed an interactive Moodle 4.5 training course using quizzes, assignments, forums, and H5P to generate measurable learning analytics via hands-on activities. - Embedded privacy-by-design principles directly into course structure, demonstrating GDPR-compliant pedagogical design rather than documentation-only compliance. - Implemented full GDPR enforcement in Moodle, including age-of-consent control, mandatory privacy consent

Data Analysis and Automation in Innovation Management. Facilitated and co-delivered workshops on innovation and intrapreneurship topics, handling full-cycle preparation, execution, and follow-up documentation for formats including X-Change Day and Screw-up Night • Analyzed innovation topic clusters using Python to support R&D prioritization decisions, translating raw data into structured summaries that directly informed stakeholder strategy discussions • Delivered a keynote on the EntreComp into Action