Yamuna B
Summary
Resourceful professional in data architecture, known for high productivity and efficient task completion. Specialize in database design, data modeling, and information management systems. Excel in problem-solving, communication, and teamwork, ensuring successful project outcomes.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Azure Data Engineer
Omni Data
Oregon, TX
08.2023 - Current
- Optimized SQL queries, created indexes, and redesigned database schemas to improve query performance and data retrieval.
- Streamlined data flow from various sources using ETL tools such as Talend, Informatica, and Airflow, and designed scalable data pipelines using Python and SQL.
- Applied dimensional modeling techniques to design data warehousing solutions for efficient data retrieval.
- Resolved complex technical issues, including reducing SSRS report runtime from 50 minutes to 3 minutes, and significantly cutting timeout issues.
- Delivered high-impact reports and projects, contributing to a $125k increase in company billability, and recognized for exceptional customer service and problem-solving skills.
- Designed and implemented feature engineering pipelines to extract, transform, and optimize raw data for machine learning model training.
- Applied domain knowledge to create meaningful features, improving model accuracy and performance in predictive analytics.
- Worked closely with data scientists and engineers to integrate engineered features into machine learning workflows for production models.
- Automated feature engineering processes reduce manual effort and accelerate model development cycles.
- Implemented techniques like one-hot encoding, normalization, and feature scaling to prepare data for optimal model performance.
Data Engineer
Accion Labs
Benguluru, Karnataka
07.2021 - 01.2022
- Collaborated with application teams and product owners to design analytics solutions and successfully transitioned on-premises systems to the Azure platform.
- Engineered queries using PySpark/SparkSQL in Azure Databricks and maintained Apache Airflow for efficient data processing and storage in Azure Blob and Data Lake.
- Developed and implemented CDC logic for regular data processing and worked with Azure Data Factory to transform critical data into aggregated tables on Hive Cloud.
- Involved in real-time streaming applications development using PySpark, Apache Flink, Kafka, and Hive, while also utilizing Snowflake data modeling techniques.
Education
Master of Science - Artificial Intelligence
University of North Texas
Denton, TX05-2023
Skills
- Big data processing
- Performance tuning
- Data modeling
- Data pipeline design
- Data migration
- SQL expertise
- ETL development
- Machine Learning
- Feature Engineering
Masters Knowledge
Deep Learning, Data Mining, Software Development for AI, NLP, Data Visualization, Statistics for Data science (Empirical Analysis)
Certification
« Microsoft Azure Fundamentals AZ900
« Microsoft Azure Fundamentals DP900
« Microsoft Azure Data Engineer DP203
« Azure Fabric DP600 (Fabric)
« Azure Fabric (DP700)
Timeline
Azure Data Engineer
Omni Data
08.2023 - Current
Data Engineer
Accion Labs
07.2021 - 01.2022
Master of Science - Artificial Intelligence
University of North Texas
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