Grace K. — Data Scientist
Data Engineer with extensive hands-on experience in designing and building enterprise-scale data platforms, pipelines, data lakes (DL), data warehouses (DW/OLTP), and data marts (DM/OLAP). Proven ability to optimize distributed systems with Spark, Hadoop, Hive, Delta Lake, and Kafka. Skilled in data mining, validation, and governance, ensuring end-to-end data quality and reliability. Strong expertise in architectural design, performance tuning, and team leadership, delivering high-performance platforms for analytics, BI, and machine learning.[TECHNICAL SKILLS]-Data Lake / Warehouse / Mart: Architecture Design, Modeling, ETL/ELT Pipelines, OptimizationDistributed Processing -ETL: Apache Spark, Hadoop, Hive, HDFS, Sqoop, Airflow-Streaming & Storage: Kafka, Delta Lake, ElasticsearchProgramming: Python, SQL, Bash, JavaCloud Platforms: AWS (S3, Glue, Athena), Databricks-Databases: MySQL, Oracle, Delta Lake-Optimization: Query Tuning, Partitioning, AQE, Broadcast Join, Tez ExecutionDevOps -CI/CD: Jenkins, GitLab, Git, Jira, Confluence, Slack, MicroTeamsData Quality -Governance: Automated ETL Testing, Validation Frameworks, Reconciliation, Data Consistency Checks[URL]- https://github.com/jiyooonkim/Coding- https://github.com/jiyooonkim/data-engineer
Stackforce AI infers this person is a Data Engineering expert in SaaS and E-commerce sectors.
Experience: 7 yrs 1 mo
Skills
- Etl
- Data Architecture
- Data Engineering
- Data Pipeline Development
Career Highlights
- Expert in building enterprise-scale data platforms.
- Proven track record in optimizing distributed systems.
- Strong leadership in mentoring engineers and team collaboration.
Work Experience
none
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Education
Bachelor of Engineering - BE at