Summary
Emre Kutluğ is a Lead Data Engineer and Data Architect with 9 years of experience designing and operating production-grade data and ML pipelines across cloud and open-source stacks. He has progressed from hands-on data science and software development to architecting scalable data lakes and ETL systems using Python, Spark, Databricks, Airflow, Terraform and AWS/Azure at companies like IBM, Airties, Hepsipay and now Huawei. Emre pairs a strong academic foundation in computational science and physics from Boğaziçi University with practical expertise in both SQL and NoSQL systems, anomaly detection for data quality, and dimensional modeling. He’s equally comfortable building APIs and multiprocessing collectors for real-time data as he is creating dashboards and storytelling artifacts for stakeholders. Known for mentoring developers and running workshops, he enjoys turning complex requirements into reliable, automated pipelines that keep data healthy throughout the lifecycle. A detail not obvious from titles: he frequently blends advocacy and engineering, having created content and POCs to bridge sales, developer communities and production delivery.
9 years of coding experience
7 years of employment as a software developer
Master's degree Computational Science and Engineering, Master's degree Computational Science and Engineering at Boğaziçi University
Turkish, English, German