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Daniel Gerard Stephens

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Chicago, Illinois, United States

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Jobs verified_user 0% verified
  • dentsu
    Lead Developer/Engineer
    dentsu
    Nov 2025 - Current (8 months)
    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. • Implemented scalable data processing solutions using Python, SQL,
  • 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. • Developed and optimized secure data integration workf
  • 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 compliance protocols. Create and manage data
  • 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. • Developed and enhanced SQL queries to assist UAT (Us
  • 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 data-driven decisions. • Designed and constructed data ar
Education verified_user 0% verified
  • University of Texas at Austin
    BS Computer Science
    University of Texas at Austin
    Jan 2015