Umer Khan

As a dynamic Data Engineer and AI/ML Solutions Architect, I thrive on transforming complex data challenges into streamlined, efficient solutions. At preis.de, part of the Idealo group and Axel Springer, I excel in optimizing ETL pipelines, orchestrating seamless BI infrastructure migrations to AWS, and deploying cutting-edge NLP models for precise data analysis and sentiment evaluation. Passionate about data innovation, I’ve built robust architectures that handle millions of global news articles daily, ensuring data integrity and accessibility via standardized APIs. My collaborative approach has successfully reduced technical debt, enhanced marketing attribution, and ensured compliance with DSA/DMA regulations. My toolkit includes Python, Kafka, Docker, AWS (S3, Athena, EMR, Glue, Redshift), and more. Whether it’s developing production-grade APIs, managing complex data lakes, or integrating new marketing channels, I bring a proven track record of delivering impactful results and driving business growth. Let’s connect and explore how we can leverage data to create scalable, innovative solutions! Specialties: Data Engineering, AI/ML Solutions, ETL Optimization, AWS Migration, NLP Models, Data Compliance, Python, Kafka, Docker, Elasticsearch, Prometheus, Grafana, FastAPI, Pandas, NumPy, PostgreSQL, MongoDB, Metabase, Tableau, PowerBI, Growthbook.