Behzod Narzulloev
@behzodnarzulloev
Results-driven Data Engineer with expertise in scalable data solutions.
What I'm looking for
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.
Experience
Work history, roles, and key accomplishments
Data Engineer
Tata Consultancy Service
Sep 2023 - Present (1 year 10 months)
Developed, deployed, and maintained resilient data pipelines using Apache Airflow, AWS Glue, and Azure Data Factory. Monitored cloud resources and applications using Prometheus, Grafana, and Dynatrace, ensuring high availability and performance.
Junior Data Engineer
Tata Consultancy Service
Jun 2022 - Present (3 years 1 month)
Supported the development of ETL/ELT workflows using Airflow and DBT, streamlining data processing for large-scale datasets. Designed and implemented scalable cloud infrastructure on AWS and Azure, utilizing services like S3, RDS, Azure Data Factory, and Databricks.
Software Engineer Internship
Ericos 1C Group
Jun 2019 - Present (6 years 1 month)
Contributed to the full software development lifecycle by developing, testing, and implementing automated business processes. Performed software maintenance and implemented improvements to enhance application functionality.
Education
Degrees, certifications, and relevant coursework
Budapest University of Technology and Economics
MSc in Computer Engineering, Computer Engineering
Awarded the 'Stipendium Hungaricum' Scholarship. Completed a thesis on 'Recommendation systems with neural network algorithms'.
Ural Federal University named after the first President of Russia B.N. Yeltsin
Bachelor of Applied Mathematics, Applied Mathematics
Grade: 3.6 /4
Achieved a GPA of 3.6/4 and was a university fund scholarship holder. Completed a thesis on 'Huber’s Estimation for anomaly data'.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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