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熊猫简历ETL Tester简历模板,设计感、经典、左右结构风格简历模板,支持自定义板块、自定义颜色、AI润色、技能条、荣誉墙、一键更换模板,专业AI辅助一键优化ETL Tester简历内容,仅需5分钟即可拥有一份精美的ETL Tester简历模板,助力你获得「高薪职位」。

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Leo Panda

ETL Tester
PROFESSIONAL SKILLS
ETL Testing & Data Quality
ETL ValidationSource-to-Target TestingData ReconciliationData ProfilingRegression Testing
Databases & Querying
SQLOracleSQL ServerPostgreSQLSnowflake
Tools & Delivery Methods
Informatica PowerCenterTalendJiraALMAgile Scrum
EDUCATION
University of North Texas
Information SystemsDatabase Management
Bachelor of Science in Information Systems
Denton, TXAug 2014 - May 2018

Focused on database management, systems analysis, data warehousing, and software quality assurance.

PROFESSIONAL SUMMARY

ETL Tester with 5+ years of experience validating data warehouse, BI, and cloud migration initiatives for finance and healthcare environments. Skilled in SQL, source-to-target validation, data reconciliation, defect tracking, and Agile QA processes. Known for improving test coverage, reducing production data defects, and partnering effectively with data engineering teams.

PROFESSIONAL EXPERIENCE
NorthBridge Financial Services
Dallas, TX
Financial ServicesEnterprise Data
ETL QA Analyst
Sep 2021 - Present
ETL TestingData Warehouse QA
  • Validated 120+ Informatica ETL mappings across Oracle, SQL Server, and Snowflake, reducing post-release data defects by 32% within two quarters.
  • Created complex SQL test scripts for source-to-target validation, duplicate checks, null handling, and business rule verification across 18 data marts.
  • Executed regression, functional, and integration testing for nightly batch loads, improving on-time release readiness from 86% to 97%.
  • Logged, prioritized, and retested defects in Jira, partnering with developers and business analysts to close 95% of critical issues before deployment.
CarePath Health Solutions
Irving, TX
Healthcare TechnologyData Analytics
Data QA Tester
Jun 2018 - Aug 2021
SQL TestingHealthcare Data
  • Tested Talend-based ETL workflows for claims, provider, and member data, validating 45 million monthly records against approved mapping documents.
  • Designed reusable SQL queries for reconciliation and exception reporting, cutting manual validation time by 25% during monthly release cycles.
  • Reviewed source-to-target specifications with data engineers and product owners, identifying 40+ requirement gaps before development completion.
  • Supported UAT and production smoke testing for BI reporting releases, helping maintain 99% data accuracy for executive dashboards.

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