I specialize in developing and optimizing ETL processes, leveraging Python for data scripting and automation. I played a pivotal role in designing and managing data pipelines, utilizing tools like dbt and Airflow to ensure efficient data transformation and workflow management. My proficiency in SQL was instrumental in handling complex data modeling tasks and maintaining large-scale databases. I contributed significantly to enhancing data architecture and implementing best practices in data governance, which streamlined data processes and supported business intelligence initiatives. My commitment to continuous learning and staying abreast of emerging technologies in data engineering enabled me to bring innovative solutions to data challenges at DataCEVA.

Developed data pipelines and ETL processes using Python and DBT to support data integration and ensuring accurate data flow to support business analytics needs.Performed data analysis leveraging Python libraries such as pandas, NumPy, and matplotlib, uncovering actionable insights and trends to inform business strategy.Worked closely with stakeholders to understand data requirements, define metrics and deliver reporting solutions that aligned with business objectives.Developed modular, testable code for ETL processes, streamlining data ingestion and transformation from various sources into the data warehouse.Created and managed reusable DBT models to ensure consistent and accurate data transformations and adherence to data governance standards.

• Intensive guided bootcamp with 600+ hours in Python, SQL, data wrangling, exploratory data analysis, data visualization, machine learning, and data storytelling. • Mastered skills in Python, SQL, Tableau, data wrangling, data visualization, hypothesis testing, and machine learning. • Project: Correlating sentiment from Reddit with the price and returns for the LRC crypto token. - Sentiment analysis performed with VADER with a lexicon customized for use with Reddit data. - Granger causality and linear regression used to assess correlation.

• Analysis of Portland and surrounding markets to assess optimal location to open business• Business analysis and revenue forecasting to inform decision making.

• Performed quantitative and qualitative research and analysis of trade data to compile international market reports recommending the best prospects for US companies looking to expand their business abroad.• Responded to daily public inquiries about various aspects of international trade regulations• Represented the organization at trade events and contributed to the management of registration, billing, communication, logistics, set-up and breakdown• Website management, creation of content pages, updating existing content and site optimization for the Seattle office’s webpages

• Analysis and assessment of incarcerated youth to create and execute plans for rehabilitation.

• Preparation and management of program files, records and reports• Managed and provided training to program staff and volunteers• Managed the intake of clients and provided counseling & intervention services• Management of monthly budgets for clients receiving SSI and SSA benefits