Fadil Meraj
Data Engineer (Agentic Ai) @Unilever
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WORK HISTORY
Data Engineer (Agentic Ai) @Unilever
Toronto, ON, CA
AI Agents for Procurement | Data Platform DevelopmentSpearheaded the end-to-end data foundation for three AI Agents designed to support C-level procurement leaders at Unilever, driving the journey from proof of concept (POC) to full-scale production.Conducted pre-project discovery with product owners and metric stakeholders to assess data source availability, define requirements, and align on success metrics.Performed exploratory data analysis, built data dictionaries and schemas, and designed robust data models to support analytical and operational use cases.Designed and implemented data ingestion, transformation, and loading pipelines within a Medallion architecture to ensure scalability, reliability, and data quality.Utilizing built-in Databricks functionalities, like Z-Order, Liquid Clustering, and Vacuum for version control and query optimizationDelivered curated gold-layer datasets to LLM engineers, enabling the development of AI-powered procurement agents and decision-support tools.Tech stack: Python, Azure Databricks (PySpark, SQL), Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Google BigQuery, Google Cloud Storage (GCS), Cloud Run, Azure DevOps
EDUCATION
Manipal Institute of Technology
Bachelor of Technology, Electronics and Communications Engineering
University of Waterloo
Master's degree, Management Sciences
ABOUT FADIL MERAJ
Doing what I love, which is working at an innovative space in an AI lab focused on building LLM agents for Unilever\'s procurement business. I model the backbone of these agents (which is normalized, clean data) to maximize their performance. 🤖
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