Utkir Khalmuratov

About Utkir Khalmuratov

As a Senior Data Engineer with over a decade of experience, I specialize in transforming complex data into actionable insights. I have a strong background in big data engineering, data lakes, and data warehousing, and I’ve worked extensively with cloud platforms like Azure and AWS. My expertise spans across data modeling, ETL pipelines, and machine learning integration, utilizing tools such as Databricks, Apache Spark, and Snowflake. I’m proficient in programming languages like Python, SQL, and Scala, ensuring that the data solutions I design are scalable, efficient, and aligned with business objectives.In my current role, I collaborate closely with cross-functional teams to build and optimize data architectures, implement CI/CD pipelines, and deliver real-time analytics through platforms like Power BI. My goal is always to drive decision-making by providing insightful, data-driven solutions that improve operational efficiency. Whether designing robust data models or fine-tuning distributed processing jobs, I’m passionate about leveraging technology to create meaningful business impact.

Experience

1. Senior Data Engineer

   T-Mobile

   Nov 2021 — Present · Bellevue, WA, US

   Actively participated in the team\'s business requirements gathering and analysis processes, contributing to the implementation of robust database solutions. This involvement spanned architecture, analysis, design, testing, development, deployment, documentation, and execution. • Collaborated effectively with DevOps engineers to design and construct automated CI/CD pipelines and embraced test-driven development practices within Azure DevOps, aligning with client specifications. • Designed and executed scalable data ingestion pipelines through Azure Data Factory, facilitating the seamless ingestion of data from SQL databases, CSV files, and REST APIs. • Developed data processing workflows utilizing Azure Databricks, harnessing the power of Spark for distributed data processing and transformation tasks. • Maintained data quality and integrity by conducting validation, cleansing, and transformation operations using Azure Data Factory and Azure Databricks. • Developed and maintained scalable data pipelines using Databricks with Python and Scala, processing and transforming large datasets to enable advanced data analytics and machine learning. • Designed and optimized ETL processes in Databricks using PySpark and SQL to read, clean, and enrich data from various sources, such as Azure Data Lake and AWS S3, for downstream consumption.

Education

• Tashkent University of Information Technologies TUIT

  Bachelor's degree, Communication and Information