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)