.. _resume: resume ======= Contact Information ------------------- * Email: suarzac@gmail.com * LinkedIn: linkedin.com/in/suarzac * GitHub: github.com/suarzac Summary ------- I am a data professional with a B.S. in Cognitive Science and professional certification in full-stack development. Personally, I enjoy the unique problem solving nature of building efficient data pipelines and modeling complex business problems with available sources. Designing end-to-end data solutions while working alongside stakeholders allows me to maintain pipelines that enable organizations to make informed decisions based on accurate, up-to-date data. **Experience** ---------- **Data Engineer 2** - Precoa (2025 - Present) ------------------- * Data Engineer on the primary data team responsible for building and maintaining data pipelines and infrastructure to support the company's data needs. * Coordinate with relevant teams (e.g. Analytics & Reporting, Strategy, Data) to align data solutions with broader business objectives. * Apply data warehouse modeling frameworks (e.g., Data Vault) or equivalent methodologies to meet organizational requirements. **Data Engineer** - BICP serving Nike Inc. (2023 - 2025) ------------------- * Designed and implemented data models and architecture to optimize storage, retrieval, and processing speed in DataBricks on AWS across various source systems (snowflake, teradata, oracle, etc..). * Collaborated with cross-functional business functions to identify and address data quality issues, ensuring accuracy and consistency of reports and analytics across BI databases while consolidating towards Unity Catalog. * Lead developer on global product application, saving sports marketing representatives time and improving accuracy in business teams purchase orders for major sports teams. * Maintain Airflow tooling (tableau data source credential rotation, external file transfers..) **Spark Python Developer** - KForce serving HP Inc. (2021 - 2023) -------------------------- * Utilized DataBricks to build scalable solutions for data cleansing, transformation, and enrichment tasks of source data for our ML teams. * Conducted performance tuning and optimization of Spark applications to improve processing speed and resource utilization. * Built Looker dashboards to monitor data quality and privacy objects of the data products we produced * Migrated core Airflow pipelines to Databricks workflows. Education --------- **Bachelor of Science in Cognitive Science: Neuroscience** - George Fox University (2020) **Developer Training: Full-Stack Development** - BrightRace Institute (2020) Skills ------ * **Technical:** Git, Python, SQL, Spark, Airflow, AWS, Databricks, Snowflake, Data Modeling/Architecture * **Software:** Jira, Confluence, Tableau, Splunk * **Languages:** English (Native)