Data Warehouse Engineer Resume 1
DATA WAREHOUSE ENGINEER
Experienced Data Warehouse Engineer
name@email.com
Surrey
Summary
Highly skilled Data Warehouse Engineer with expertise in ETL processes, SQL, Power BI, and cloud data architecture. Proven experience in optimizing reporting and analytics while collaborating with senior stakeholders.
Experience
Data Warehouse Engineer
Google
2020 – Ongoing
Mountain View, CA
- Designed and implemented a new data warehouse for Google’s advertising platform, which resulted in a 20% increase in data processing speed and 1.5M dollars reduction in data storage costs.
- Led a team of data engineers in the development of a new data pipeline for Google’s search engine, which reduced the time to market for new data products by 50%.
- Developed a new data visualization tool for Google’s marketing team, which increased the use of data-driven decision making by 25%.
- Presented data warehouse architecture and design best practices at several industry conferences, reaching an audience of over 1,000 data professionals.
- Mentored and trained junior data engineers, helping them to develop their skills and knowledge.
Data Warehouse Developer
AT&T
2017 – 2020
Somerset, NJ
- Developed data warehouse schemas following Kimball’s dimensional modeling principles, resulting in a 10% reduction in ETL job execution time due to efficient data joins.
- Leveraged Datastage Sequencer jobs to manage dependencies between 25+ parallel ETL jobs, ensuring an error-free execution flow and preventing data inconsistency.
- Implemented comprehensive QA testing for 100+ store procedures used for sales data validation, leading to a 98% decrease in reported data errors.
- Proficient in diverse data management technologies including QlikView, SQL Server, Oracle, SAP, Excel, and flat files, successfully migrated 50GB of legacy sales data to the new data warehouse.
Data Analyst
ABC Firm
2015 – 2017
Manchester
- Developed and maintained Python and R scripts resulting in 15% improvement in data analysis time.
- Created and optimized Power BI dashboards resulting in 20% improvement in report generation time.
- Collaborated with collection agents to identify and address key business needs resulting in 10% increase in overall collections performance.
Strengths
ETL Optimization
Reduced ETL processing time by 30% through performance tuning and automation.
Data Modeling
Designed and implemented dimensional data models for financial services companies.
Skills
- ETL
- SQL
- Power BI
- MS Office
- Data Science
- Python
- R
- Cloud
- Dimensional Data Modelling
- Financial Services
- Collections
- Asset Management
Achievements
Data Governance Framework
Designed and implemented a data governance framework that improved data quality and compliance.
Education
Bachelor of Science in Computer Science
University of Chicago
2011 – 2015
Chicago
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