Behzod Narzulloev

I am a results-driven Data Engineer with over 3 years of experience in engineering and optimizing scalable data pipelines and data warehouse solutions. My expertise lies in building robust ETL/ELT workflows using Python, SQL, Airflow, and DBT, as well as implementing real-time data streaming solutions with Apache Kafka. I am passionate about leveraging automation to improve data pipeline efficiency and collaborating with stakeholders to deliver actionable insights from complex datasets.

Currently, I work at Tata Consultancy Service as a Data Engineer, where I develop, deploy, and maintain resilient data pipelines to ingest, process, and transform data from diverse sources. I have advanced knowledge of cloud resources and applications, ensuring high availability and performance through monitoring tools like Prometheus and Grafana. My previous role as a Junior Data Engineer involved supporting the development of ETL/ELT workflows and designing scalable cloud infrastructure on AWS and Azure, which significantly improved data-driven operations.

My educational background includes a Master's degree in Computer Engineering from Budapest University of Technology and Economics, where I was a 'Stipendium Hungaricum' scholarship holder. I am committed to continuous learning and have obtained certifications in Microsoft Azure and Kubernetes, which further enhance my technical capabilities in the field of data engineering.