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Dominique Epps

@dominiqueepps

Data Engineer specializing in scalable pipelines, analytics-ready datasets, and experimentation support to drive reliable business decisions.

United States

Message

What I'm looking for

I’m looking for a role where I can build reliable, automated data pipelines and analytics-ready datasets—partnering with stakeholders to deliver measurable business impact, support experimentation, and improve data quality end to end.

I’m a Data Engineer and Analytics professional with 7+ years of experience building scalable data pipelines, analytics solutions, and experimentation-ready datasets. I partner cross-functionally to translate business questions into actionable data products—grounded in strong data reliability, automation, and data quality practices.

I bring deep expertise in Python, SQL, DBT, and Snowflake, plus hands-on experience designing data models, automating ingestion workflows via APIs, and creating data validation and quality frameworks. I also support analytics and performance efforts through dashboard development, funnel analysis, A/B testing support, and statistical and machine learning techniques.

Experience

Work history, roles, and key accomplishments

Current

Senior Analyst, Data Management

Current

Ally

Oct 2023 - Present (2 years 10 months)

Build scalable data pipelines using Python, Bash, and Snowflake to migrate enterprise data into cloud-based analytics. Develop DBT Cloud transformations, APIs, ingestion workflows, and data quality validation frameworks to support analytics and reporting.

Python BASH Snowflake Dbt Cloud Data Pipelines Data Modeling REST APIs Data Ingestion Data Validation Data Quality Automation

Systems Analyst II

Canteen

Jan 2022 - Oct 2023 (1 year 9 months)

Developed analytics and data science solutions using Python, SQL, R, and Power BI to support business strategy and operational improvements. Designed data models and ETL workflows, built dashboards for KPIs, and supported experimentation and performance analysis through reporting and trend analysis.

Python SQL R Power BI Data Modeling ETL Statistical Analysis Machine Learning Dashboard Development Experimentation

Business Analyst

RoundPoint Mortgage

Apr 2020 - Jan 2022 (1 year 9 months)

Built SQL Server queries and reporting solutions to support ad hoc business analysis and operational decision-making. Maintained reporting infrastructure, performed data validation/testing for accuracy, and created dashboards and reports using MicroStrategy.

SQL Server Reporting Data Validation Data Testing Dashboard Development Microstrategy

Associate Software Engineer

Infosys

Jun 2019 - Apr 2020 (10 months)

Built and maintained large-scale datasets using Hadoop, Hive, Spark, MongoDB, and Oracle SQL in distributed data environments. Queried structured and unstructured data for enterprise reporting and analytics, and maintained database tables and data structures for data integrity and accessibility.

Hadoop Hive Spark MongoDB Oracle SQL Distributed Data Processing data transformation Data Integrity Data Modeling

Software Developer

Revature

Nov 2018 - Jun 2019 (7 months)

Developed multi-tier applications using Java, Spring, Angular, SQL, and Bootstrap. Built and managed AWS-hosted databases and collaborated in Agile teams to deliver scalable application functionality and business logic.

Java Angular SQL Bootstrap AWS Agile

Education

Degrees, certifications, and relevant coursework

University of Maryland Global Campus

Master of Science, Data Analytics

Earned a Master of Science in Data Analytics. Coursework focused on building analytics capabilities for data-driven decision-making.

Radford University

Bachelor of Science, Applied Mathematics

Activities and societies: Minor in Statistics.

Earned a Bachelor of Science in Applied Mathematics. Completed a minor in Statistics.

Wytheville Community College

Associate of Science, Mathematics

Activities and societies: Specialization in Mathematics.

Earned an Associate of Science with a specialization in Mathematics. Program preparation included foundational coursework in mathematics and quantitative methods.