Lazizbek Kobiljonov

Data Engineer @Hearst

NY, US

Implemented cross-cloud ETL workflows with tools like Informatica IICS, Talend, and Alteryx. Migrated on-premise data workloads to the cloud using Snowflake\'s external stages, Azure Data Factory, and AWS Glue, ensuring cost optimization and performance efficiency.• Built real-time analytics dashboards using Kusto Query Language (KQL) in Azure Monitor and Log Analytics. Developed anomaly detection algorithms for system performance monitoring and operational intelligence dashboards.• Built large-scale data lakes using Hadoop\'s HDFS for batch and parallel processing of structured and unstructured data. Integrated Spark for distributed computing and implemented data pipelines for customer behavior analytics. • Designed and implemented machine learning feature engineering pipelines in Databricks to support data science teams in developing predictive models for customer behavior analysis.• Orchestrated data migration projects from legacy systems to Azure and AWS cloud platforms. Utilized tools such as Azure Migrate, AWS DMS, and custom Python scripts to migrate large datasets while ensuring minimal downtime and data integrity.• Deployed advanced security features such as row-level security (RLS) and column masking in Power BI and SQL Server to ensure compliance with organizational data policies.• Conducted knowledge-sharing sessions and training workshops for team members to upskill on Azure, Power BI, and Databricks technologies, fostering a culture of continuous improvement.• Delivered end-to-end solutions for data cataloging and discovery using Azure Data Catalog, enabling faster onboarding for new data sources and improving time-to-insights.• Built advanced Power BI dashboards, incorporating dynamic visuals and calculated measures using DAX for data-driven decision-making.• Automated data ingestion and transformation processes using Python, reducing manual intervention and enhancing operational efficiency

University of Al-Kwarezmi

Bachelor's degree, Computer Science