NESTLÉ | Data Analytics / Data Engineer
TECH STACK:
Python, FastAPI, MS Graph, Redis, Databricks, Kubernetes, Docker, Celery, OpenAI, OAuth2, Azure: Data Lake, KeyVault, Container Registry, Sharepoint
PROJECT DESCRIPTION:
ADeveloped internal Python libraries and microservices for an enterprise AI Sales Assistant, supporting document ingestion, delta tracking, ETL, vector enrichment, and retrieval workflows at scale. Built and maintained components for parsing, chunking, embeddings, metadata management, indexing, and synchronization across enterprise knowledge sources. Supported AI data infrastructure across Azure, Databricks, SharePoint, Snowflake analytics workflows, helping improve retrieval quality, data availability, and contextual access for business users. Contributed to reliable ingestion and transformation pipelines for large volumes of structured and unstructured enterprise data used in RAG based AI systems.