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Aws data engineer big data

Location:
Ashburn, VA
Posted:
February 04, 2024

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Resume:

*/* (Lee,YongSeong)

[Consultant] 이종선 전무 / **-****-6460 / 010-****-**** / ljs@

RESUME

PERSONAL INFO ( LinkedIn : https://www.linkedin.com/in/yongseong-lee-550856a8/ ) Full Name : Lee, Yong Seong Mobile Phone : +1-703-***-**** Email : ad3dfq@r.postjobfree.com SKILL AREAS

• Database & Big Data & Machine Learning experience on both On-premise and Cloud.

AWS BigData/ML (SageMaker SME, EMR, DynamoDB, Glue, Kinesis, Redshift, RDS as well as Core Services )

Cloudera 5x on Oracle BDA, YARN, Hadoop Ecosystems( Hive(Tez), Spark, Sqoop, Flume, Hue,Oozie, Storm )

Oracle Exadata X3,X4 / Oracle database 8i ~ 12c / MySQL 5.x / DB2 V9.7

NoSQL ( Oracle NoSQL, Hbase basic, MongoDB basic), ETL tool ( Oracle Data Integrator ), R Scripts basic

• Software Development, Data Management and Database Performance Tuning

Java ( JSP/ J2EE ) / Python / MapReduce Programming / Shell scripts

Data Migration (ETL scripting) / Oracle SQL & Server Tuning / MR Job Perfornace Tunning /

Linux / AIX 5.x / Solarais10,11 / Windows Server basic

• Issue Resolution & Trouble Shooting

• Build TO-BE Architecture based on customer requirements CERTIFICATES / ARTICLES / AWARD

• 9 AWS Certifications : AWS Machine Learning Specialty, AWS Data Analytics Specialty, AWS DataBase Specialty, AWS Certified Big Data Specialty, AWS Certified Solution Architect Professional, AWS Certified DevOps Administrator Professional, AWS Certified Developer/SysOps/Solutions Architect Associates

• SCJP / OCP 8i / OCP 10g / CCNA / Engineer Information Processing issued by Korea

• BigData/ML Blogs :

• Anomaly detection on Amazon DynamoDB Streams using the Amazon SageMaker Random Cut Forest algorithm

• Analyse data in Amazon DynamoDB using Amazon SageMaker for real-time prediction

• Near Zero Downtime Migration from MySQL to DynamoDB PROFESSIONAL EXPERIENCE

Amazon Web Services USA : Data Engineer – AWS Security ( Mar 4, 2022 – Present ) Amazon Web Services USA : Cloud Engineer II - Big Data ( Feb 4, 2019 – Mar 3, 2022 ) Amazon Web Services Australia : Cloud Engineer - Big Data ( July 18, 2016 – Feb 3, 2019 ) Amazon Web Services Korea : Technical Account Manager with Big Data Specialty ( Apr 20, 2015 – July 17, 2016 ) Oracle Korea : Principal Technical Consultant for Big Data & Database( Mar 2012 – Apr 20, 2015 ) IBM Korea : Oracle Database and WAS Administrator ( Nov. 2009 – Jun. 2011) EDUCATIONS

Mar. 2015 – Drop Out Master of Science in information Management KAIST, Seoul, Korea Mar. 2014 – Feb. 2016 Bachelor of Statistis Information ( Completed ) Korean National Open University,Seoul, Korea Mar. 2007 – Feb. 2010 Bachelor of Computer Science ( Completed ) Korean National Open University,Seoul, Korea Mar. 1995 – Feb. 1999 Bachelor of French Literature ( Completed ) Yonsei University, Seoul, Korea 2/4 (Lee,YongSeong)

[Consultant] 이종선 전무 / 02-6925-6460 / 010-****-**** / ljs@ JOB DETAILS

Amazon Web Services

• Period: Mar 4, 2022 – Present

• Address : 13820 Dulles Corner Park, Herndon, VA (20171)

- Title: Data Engineer – AWS Security team

- Roles: Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data/ML architecture.

Design machine learning infrastruncture and implemenet orchestration for ML jobs.

Collaborate with BI Engineers, Software Engineers, and cross-functionals to deliver high quality data architecture and pipelines

Optimize automated processes for performance and fault tolerance

• Period: Feb 4, 2019 – Mar 3,2022

• Address : 13200 Woodland Park Road Herndon, VA, United Status of America ( 20171 )

- Title: Cloud Engineer II - Big Data

- Roles: Foster team as senior engineer.

Manage and participate in the mentoring of all engineers on the team

Raise the technical acumen of engineers by mentoring coaches and individuals on best practices

Create training sessions, perform brown bags, review other engineer cases that are related to machine learning, and provide feedback on improvements.

Leverage experience with customers to take feedback, issues and successes to the product development team

• Period: July 18, 2016 – Feb 3, 2019

• Address: Level 37 Citigroup Tower 2 Park Street Sydney, NSW, Austraila ( 2000 )

- Title: Cloud Engineer - Big Data

- Roles: Customer Support focusing on Big Data Services

Issue Resolution & Trouble Shooting focusing on AWS Big Data Solutions

Attending PoC/Migration project, Deliver Training session to Customers

- Projects & On-site Support:

Deliver Glue training Session focusing Spark for Lotte (2018.10 )

Attending Woonjin Big data project implementation ( 2017.10 )

Attending Coupang Migration Project (2017.04 – 2017.10)

Leading LG Manufacturing System Migration Big data PoC (2016.11)

• Period: Apr 20, 2015 – July 17, 2016

• Address : 12Floor GS Tower, 508 Nonhyeon-ro, Gangnam-gu, Seoul, South Korea ( 135-985 )

- Title: Technical Account Manager - Big Data on Cloud

- Roles: Enterprise Customer Support focusing on Big Data Services

Coordinate Enterprise Customer between Software Developers and Customers

Follow up critical Issues/Events/migration for Enterprise customer.

Deliver the voice of Enterprise customer and mitigate customer temperature.

- Projects & Activities:

Samsung DynamoDB migration Support from Cassandra on EC2 (2015.12) 3/4 (Lee,YongSeong)

[Consultant] 이종선 전무 / 02-6925-6460 / 010-****-**** / ljs@

Samsung Galaxy Apps Migration Support from IDC to AWS platform (2015.09)

AWS RDS(MySQL) OS upgrade support (2015.08)

Oracle Korea based in Korea

• Period: Mar 2012 – Apr 2015

• Title: Principal Technical Consultant (Database & Big Data)

• Roles: Technical Consulting for Oracle Database & Big Data Solutions

- Technical consulting for customer architecture, write proposal, Attend BMT & PoC as Leader

- Make presentation for customers as well as training

- Hands-on workshop for Oracle Partners engineers.

• Projects & Activities:

- Data Handling on DW(Exadata) and Hadoop ( ETL, Mart and OLAP )

- Write scripts with Hive/shell/Python and Java programming

- Design TO-BE Architecture

- Involved in :

Big Data Platform PoCs - Samsung Electric, Display, Semiconductor and FDC

LG ( Electronic, Smart TV, MC laboratory) Big Data Project

HyunDai KIA Motors Big Data Platform PoC (VCRM)

POSCO Big data Project, Doosan Heavy Industry and etc. IBM Korea based in Korea

• Period : Nov. 2009 – Jun. 2011

• Title : Database and WAS Administrator

• Roles : Database and WAS Administration and Troubleshooting ( On-site Support for Allianz Korea)

- Installation and Troubleshooting for Oracle8i,9i,10g,11g and WAS (Tuxedo, WebLogic ) maintenance

- Oracle / WAS Server Maintenance and Tuning

- MS SQL / DB2 Administration

• Projects & Activities :

- SQL Tuning / Database Maintenance ( Backup/Recovery/Installation)

- Oracle Database Upgrade and Migration

Coordinate between Server, Storage and Network engineers

Set up Data Migration Plan and Handling customer’s requests Appendix – TRAINING

Qualifications

Date course

completed

Certification

Date

Name of

Institution/Awarding Body

Period

Java Programmer Course 19/ 11 /2001 19/ 11 / 2001

SSANGYONG Institute of

System Technology

6 Months

Engineer Information

Processing

27 / 8 / 2001 1 / 9 / 2001 Republic of Korea. 4 Months 4/4 (Lee,YongSeong)

[Consultant] 이종선 전무 / 02-6925-6460 / 010-****-**** / ljs@ Project Management

Course

4 / 12 / 2007 N/A IBM 2 Days

SCJP 28 /12 /2001 28 /12 /2001 Sun 1 Month

OCP 8i 16/ 8 /2003 16/ 8 /2003 Oracle 4 Months

OCP 10g 1 / 3/ 2013 30 / 3/ 2013 Oracle 1 Month

CCNA 9/ 11 /2006 9/ 11/2006 CISCO System N/A

Bachelor of

Computer Science.

24/2/2010 24/2/2010

Korean National

Open University

2 years

AIX 6.1 Intensive Course 04 / 2010 N/A IBM 5 days

Oracle10g RAC 08/2010 N/A Oracle 5 days

DB2 Administration 03 / 2011 N/A IBM 5 days

Oracle Exadata Workshop 03 / 2012 N/A Oracle 5 days Oracle Solaris

Part I & Part II

2013 / 12 N/A Oracle 5 days

MySQL performance

Tuning

2013 / 12 N/A Oracle 5 days

AWS Cloud Services

Training

2015 / 4 N/A

Amazon Web Service

at Sydney

3 weeks

AWS Kinesis Bootcamp 2016 / 9 N/A

Amazon Web Service

at Sydney

1 week

Glue Bootcamp 2018/5 N/A

Amazon Web Service

at Sydney

1 week



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