Data Engineer Azure

Ted Kim

Data Engineer II

Personal Info

Ó (***) 460−8019

Q *********@*****.***

Hartford, CT, 06103

Portfolio

Linkedin

MDPI Journal

Deep Learning Energy Prediction

Tsinghua University, 334th

Skill

Python

SQL

R

Apache Spark

Azure

Azure Data Lake

Azure Active Directory

Azure Data Factory

Azure Machine Learning Studio

Azure SQL Database

Databricks

Data Build Tool

Docker

Fivetran

HTML

Jira

Language Understanding(LUIS)

Power BI

Power Apps

QlikView

Snowflake

SQL Server

SQL Server Management Studio

Streamlit

Talend

Tensorflow

Terraform

UiPath

Languages

English

Korean

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Summary

Data Engineer & Data Scientist with 4+ years of experience in building cloud based data-driven solution in the manufacturing industry. Proficient in building, testing, and deploying a data pipeline to produce value from data assets for business. Experience

Data Engineer II FedEx Dataworks − Memphis, TN (March 2024 − Present)

• Terraform to automate the deployment of Snowflake and Azure infrastructure components, developing reusable modules to ensure consistency and scalability.

• Apache Kafka and PySpark to implement high-volume streaming data integration pipelines in Azure, enabling real-time ingestion and transformation.

• UiPath to migrate legacy processes into Cloud Orchestrator, developing auto- mated workflows.

Data Engineer Sub-Zero Group, Inc − Fitchburg, WI (January 2022 − March 2024)

• Azure Data Factory and Databricks to set up CI/CD pipelines for machine learning models in a cloud-based environment.

• DBT to implement ETL processes, moving data between systems such as Snowflake, Spark, and SQL Server.

• Python to develop ML models, apply NLP techniques, and utilize relevant libraries.

• SQL to demonstrate a strong understanding of relational databases and profi- ciency in query development.

Web Developer IEEE PES Big Data & Analytics Subcommittee (January 2018 − August 2021)

• Django and Flask Python frameworks to develop and maintain robust web appli- cations.

• Data visualization tools to develop and support visualizations that effectively communicate findings to business users.

• SQL Server to implement APIs and manage databases for data access and inte- gration.

Research Assistant Machine Learning Lab − Tempe, AZ (June 2017 − August 2021)

• Publish journal and stay up-to-date with the latest ML technologies.

• Collaborate with cross-functional teams including professors and stakeholders to achieve project goals.

Intern Tsinghua University − Beijing, China (July 2018 − August 2018)

• Development of new mobile apps and features bases on strategic priorities, in- dustry experience, customer feedback.

• Project experience using Supervised and Unsupervised ML algorithms, NLP and Text Mining, Anomaly Detection.

Education

Arizona State University

• Master of Science - Electrical Engineering, 2021

• Bachelor of Science in Engineering - Electrical Engineering, 2020 Certification

(I773-8901) Azure Data Scientist Associate

(I778-8125) Azure AI Engineer Associate

(I781-5484) Azure Data Engineer Associate

(I810-5220) Azure Database Administrator Associate

(I760-4186) Power Platform Developer Associate

(I262-7461) Azure Fundamentals

Ted Kim

Data Engineer II

.

Publication

Kim, Gyoungjae et al. "Twin-Delayed Deep Deterministic Policy Gradient For Low- Frequency Oscillation Damping Control".Energies, vol 14, no.20, 2021, p. 6695. MDPI AG, https://doi.org/10.3390/en14206695.

Project

Install Claims Sub-Zero Group, Inc (January 2022 − Present) The project goal is to swap existing method that engineer manually classified ticket with new supervised learning model.

Warranty Data Analysis Sub-Zero Group, Inc (January 2022 − Present) To build NLP solution to analyze warranty data that can be use to improve its under- standing of its products and to estimate the demand/cost for parts. Big-Data Analytics Software for Smart Meter Salt River Projects (August 2020 - May 2021) The project scope is to build customer application to have advanced analysis in using many different ML/DL models on household data comes from smart meter. Specifically using LSTM model to predict their future usage.

Dynamic Pricing for EV Charging Tsinghua University (July 2018 - September 2018) The project scope is to find and explore the best price discrimination algorithm for EV charging station based on the location, car price and charge station level. Teaching

Teaching Assistant

EEE−579, Power Transmission & Distribution

Master Core Class, One of the Three Core Classes for Master Comprehensive Exam School of Electrical, Computer, and Energy Engineering Graduate Level, Spring 2020

EEE−202, Circuits 1

School of Electrical, Computer, and Energy Engineering Undergraduate Level, Fall 2017

EEE−101, Introduction of Electrical Engineer

School of Electrical, Computer, and Energy Engineering Undergraduate Level, Fall 2017

Honors

Honors

Webmaster, IEEE PES Subcommittee on Big Data & Analytics for Power Systems Fulton Undergraduate Research Initiative

Alpha Lambda Delta & Phi Eta Sigma: The National Honor Society First-Year Success Awards

Arizona State University − New American University Scholarship ($16,000) Arizona State University − Fulton Undergraduate Research Initiative ($3,800) Tsinghua University − FIT scholarship ($1,000)

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