Ben Groves
Tampa,US
Summary
Detail-oriented Senior Data Engineer designs, develops and maintains highly scalable, secure and reliable data structures. Accustomed to working closely with system architects, software architects and design analysts to understand business or industry requirements to develop comprehensive data models. Proficient at developing database architectural strategies at the modeling, design and implementation stages.
Overview
16
16
years of professional experience
Work History
Senior Data Engineer
Stanley Black & Decker
02.2024 - 04.2024
- Led data migration project saving $2.1 million in annual spending.
- Evaluated emerging technologies and tools to identify opportunities for enhancing existing systems or creating new ones.
- Re-engineered existing ETL workflows to improve performance by 53% identifying bottlenecks and optimizing code accordingly.
- Ensured data quality through rigorous testing, validation, and monitoring of all data assets, minimizing inaccuracies and inconsistencies.
Data Engineer
Stanley Black & Decker
01.2021 - 02.2024
- Led development and support for performance dashboards that encompassed key metrics to be reviewed with senior leadership and sales management
- Ingested data from disparate data sources using combination of SQL, DAX, and Python to create views used in Power BI
- Automated previously manual reports saving labor hours and $300,000 in annual spending.
- Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
Business Development Manager
TBC
07.2008 - 06.2020
- Drafted quarterly and yearly reports on company financial metrics to assess successes and account for deficiencies
- Analyzed inventory and set levels to satisfy location needs resulting in reduced spending by up to 25%
- Mined data to produce daily individual KPI reports and analyzed deficits improving sales revenue by 20%
- Used forecasting to recommend marketing and campaign strategies to generate new business resulting in 10% increase in fleet purchases
- Compared market trends with competitors to set pricing at comparable levels to increase client retention and satisfaction
- Examined labor rates, product cost, and service costs based on location using mined data to provide recommendations and implement changes at over 100 locations
- Assessed staffing levels using comparison models of generated revenue, worker efficiency, industry standards, and competitor's compensation rates increasing profit for region by 15%
- Tested and validated labor and product pricing models based on demographic research and statistical analysis
- Built linear models using constrained optimization with team examining hours of operation versus revenue, and hours worked versus labor hours ensuring each location remained at maximum efficiency
- Facilitated regular communication with clients to ensure their needs were met, fostering long-lasting relationships built on trust and mutual respect.
- Increased client base by identifying new business opportunities and cultivating strong relationships with key decision makers.
Education
Master's Degree - Data Science & Analytics
University of Maryland Global Campus
Adelphi, MD11.2021
Bachelor's Degree - Economics
University of Maryland
Baltimore, MD05.2019
Skills
- Snowflake
- Data Pipeline Design
- Data Modeling
- Data Warehousing
- Spark
- ETL development
- Big Data Processing
- Python Programming
- Power BI
- Treasure Data
- R
- SQL
Timeline
Senior Data Engineer
Stanley Black & Decker
02.2024 - 04.2024
Data Engineer
Stanley Black & Decker
01.2021 - 02.2024
Business Development Manager
TBC
07.2008 - 06.2020
Master's Degree - Data Science & Analytics
University of Maryland Global Campus
Bachelor's Degree - Economics
University of Maryland
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