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Kseniia A.
Senior Data Engineer @Gartner
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WORK HISTORY
Senior Data Engineer @Gartner
Designed efficient data architectures across Azure, AWS, and Snowflake platforms- Integrated services like Azure Data Lake Storage, Synapse Analytics, AWS Glue, and Snowflake for comprehensive data solutions- Optimized data ingestion and processing using cloud-native tools and services- Utilized PySpark and Hadoop ecosystem tools for large-scale data processing and analytics- Implemented data quality checks and validation routines within cloud environments- Developed MapReduce programs for parsing raw data and creating intermediate data for Hive- Implemented data governance practices for privacy, security, and compliance in data projects- Configured role-based access controls (RBAC) and integrated with cloud identity services- Managed data sharing and collaboration features in Snowflake across teams and organizations- Designed and implemented generative AI models using TensorFlow and PyTorch for synthetic data creation- Ensured data quality and reliability for AI model training within cloud environments- Integrated machine learning workflows with data engineering pipelines for end-to-end solutions- Leveraged cloud-native monitoring tools for comprehensive visibility into data workflows- Optimized query performance in various database systems, including Redshift and Snowflake- Implemented best practices for storage and query performance in data lakes and warehouses.
ABOUT KSENIIA A.
Experienced Senior Data Engineer with about 6 years of expertise in developing, implementing, administrating, and providing support for SQL Scripting, ETL Pipelines, and Data Modeling for substantial Data Warehouses, Data Lakes, Data Marts, OLTP systems, and Big Data analytics. Proficient in working with structured, semi-structured, and unstructured datasets, deciphering critical insights or actionable insights, and visually presenting them. Collaborates effectively with external development teams daily, articulating the overarching vision, prioritizing tasks, and offering guidance and assistance. Demonstrates proficiency in Python for data analytics, as well as in Databricks, Power BI, and Azure Data Factory (ADF) for streamlined data processes.I love connecting with new people, and you can reach me at k••••••••@gmail.com
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