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Daniel Gerard Stephens

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Chicago, Illinois, United States

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Résumé


Jobs verified_user 0% verified
  • dentsu
    Lead Developer/Engineer
    dentsu
    Nov 2025 - Current (1 year)
    Led the design and development of data platforms supporting media planning, campaign
    analytics, and cross-channel performance tracking for large-scale advertising clients.
    •
    Built and maintained data pipelines to ingest high-volume campaign data from ad platforms (e.g.,
    programmatic, social, search) and transform it into analytics-ready datasets.
    •
    Developed data models and reporting layers to enable real-time insights into key media KPIs
    such as impressions, reach, CTR, conversions, and spend efficiency.
    •
    Partnered with media strategists and analytics teams to deliver data solutions that improved
    campaign optimization, audience targeting, and budget allocation decisions.
    •
    Implem
  • AssistRx
    Senior Integration Engineer
    AssistRx
    Nov 2024 - Nov 2025 (1 year 1 month)
    Designed, developed, and maintained ETL pipelines to ingest and transform data from client
    sources and third-party aggregators (via SFTP and other transfer methods) into CRM platforms,
    ensuring accurate, secure, and timely data delivery in both directions.
    •
    Investigated and resolved production issues by handling client-reported support tickets,
    debugging pipeline failures, and addressing data quality or delivery concerns to minimize downtime
    and ensure business continuity.
    •
    Monitored and remediated pipeline failures generated by automated systems, performing root-
    cause analysis and implementing long-term fixes to enhance reliability, reduce recurrence, and
    improve system resilience.
  • Dell Technologies
    Senior Data Engineer
    Dell Technologies
    Sep 2023 - Nov 2024 (1 year 3 months)
    Design, develop, and optimize scalable data pipelines using Python and ETL frameworks to
    extract, transform, and load (ETL) large datasets from various sources. Architect and implement data
    warehousing solutions, such as Snowflake, to support analytics and reporting needs.
    •
    Collaborate with cross-functional teams to understand business requirements and translate them
    into technical specifications. Develop and maintain data models, schemas, and data dictionaries to
    ensure consistency and data integrity. Utilize tools like FastAPI for developing robust APIs and
    Postman for testing and documenting API endpoints.
    •
    Implement and manage data governance processes, including data quality, security, and
  • Optimizely
    Data Engineer
    Optimizely
    Mar 2019 - Sep 2023 (4 years 7 months)
    Created and managed ETL pipelines to merge data from several sources, such as AWS,
    Snowflake, and MongoDB, into a consolidated data warehouse, utilizing technologies like DBT and
    Python.
    •
    Using Power BI for data visualization and reporting, data modeling and schema design were
    carried out to assist business intelligence and analytics.
    •
    Used RESTful APIs to integrate with current systems while implementing SQL and Python data
    validation and cleansing procedures to guarantee data correctness and consistency.
    •
    Used technologies like Docker for containerization and Azure for cloud services to work with
    engineering teams to incorporate data solutions into current systems and applications.
  • Miro
    Data Engineer
    Miro
    Sep 2015 - Mar 2019 (3 years 7 months)
    Developed customized data-driven solutions by actively interacting with stakeholders to
    comprehend their requirements and match data strategies with organizational goals.
    •
    Developed and oversaw ETL procedures to guarantee correct and timely data transfers,
    enhancing the availability and integration of high-quality data.
    •
    Created and put into place data pipelines that process and integrate data from Snowflake, AWS
    S3, Hadoop, and Spark utilizing Airflow, DBT, and Python3, guaranteeing effective data transformation
    and storage.
    •
    Created actionable insights and reports using Sisense and Pandas for sophisticated data analysis
    and visualization, assisting multiple departments in making da
Education verified_user 0% verified
  • University of Texas at Austin
    BS Computer Science
    University of Texas at Austin
    Jan 2015