Hyun Sook Mayben
Plant City
Summary
Accomplished Sr. Data Engineer at ixHello, I excelled in designing scalable data pipelines and optimizing database performance. Leveraging Azure Data Factory, I implemented efficient ETL processes while fostering cross-team collaboration. My proactive approach ensured high data integrity and streamlined analytics, significantly enhancing operational efficiency in a fast-paced environment.
Overview
1
1
year of professional experience
Work History
Sr. Data Engineer
ixHello
08.2024 - 11.2025
- As the only data engineer, my responsibility was to analyze and generate metrics on the usage of the Generative AI chatbot.
- As the only data engineer, I had many roles on this project. Not only was I the engineer, I was also the architect and the analysis and sometimes the QA.
- Created the architecture for the incremental ingestion process from the source Cosmos for Mongo DB to the Azure SQL Server working within the limitations of the Mongo DB.
- Created the architecture for a multi-tiered, multi-level parallel process for generating metrics using the mongo collections and meta data as the source data.
- Created the architecture for the archiving process for the both analytics tables and the target tables (mongo collections raw data).
- Analyzed and engineered the incremental ingestion process using Azure Data Factory.
- Analyzed and engineered the analytics parallel process using Azure Data Factory and Azure SQL Server. With fast growing tables in production performance was always a concern. So developing scalable solutions was a necessary requirement.
- Analyzed and engineered the archiving process using Azure Data Factory and Azure SQL Server.
- Performed daily checkups, check error logs and maintenance on all 6 environments.
- Created architecture diagrams and documented all processes to aid in transition of knowledge transfer to permanent member of team.
- IX Hello Employee is a Generative AI chatbot platform designed to accelerate productivity across a wide range of use cases, providing enterprise-grade security, privacy, and compliance. It aims to deliver high accuracy in outputs at a low cost, streamlining various tasks and enhancing operational efficiency.
- Designed scalable data pipelines for efficient data processing and analysis.
- Implemented ETL processes using modern tools to ensure data integrity.
- Managed database systems to optimize performance and accessibility for users.
- Conducted data quality assessments to identify and resolve inconsistencies.
- Documented technical specifications for data models and architecture standards.
- Participated in code reviews to maintain high-quality standards in development practices.
- Created ETL scripts to move and transform data from various sources into a centralized repository.
- Developed data pipelines to ingest and process large datasets.
- Collaborated with other teams to understand their requirements and deliver solutions accordingly.
- Integrated multiple heterogeneous sources into one unified source via ETL processes.
- Optimized existing queries in order to improve query performance and reduce the load on the server.
- Monitored system health and performance metrics to ensure smooth functioning of the system.
- Analyzed user needs and created logical models that met those needs while adhering to industry standards.
- Performed advanced analytics on structured and unstructured data using SQL, Python, R.
- Provided technical support in troubleshooting issues related to data processing or storage systems.
- Built complex reports utilizing multiple sources of information from different systems.
- Designed, built, and maintained high-performance databases for reporting and analysis purposes.
- Recommended data analysis tools to address business issues.
Skills
- Data pipeline design
- ETL processes
- Incremental data ingestion
- Azure Data Factory
- Database optimization
- Cross-team collaboration
Timeline
Sr. Data Engineer
ixHello
08.2024 - 11.2025