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Kevin Agbulos

@kevinagbulos

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Data Engineer II at Elder Research who automated demand planning forecasts and saved 50 hours of annual manual work.

United States

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At Elder Research, I automated the weekly demand planning forecast end to end, delivering CSVs to four planners and eliminating about 50 hours of annual manual work.

I also built bronze-to-silver ETL layers in Databricks Unity Catalog behind a Streamlit what-if app, replacing a manual process with self-service inventory stocking analysis. As a Data Engineer I, I built an ELT pipeline from Amazon's Report API that saved 936 hours per year and fed an hourly Power BI dashboard.

Earlier, as a Data Analyst at Kerridge Commercial Systems, I built Python tools to clean files, populate SQL Server staging tables, and automate tire data retrieval. At Universal Health Services, I launched an online scheduling platform across nine markets and analyzed scheduling metrics to reduce cancellations and rescheduling.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer II

Current

Elder Research

Apr 2026 - Present (6 months)

Automated the weekly demand planning forecast end to end, delivering CSVs to planners via Outlook and eliminating manual labor. Raised engineering standards by extending CI with Astral tooling and enforcing lint, format, and type-check gates on Python data pipeline packages.

Python PySpark Databricks Unity Catalog Streamlit CI CD Astral Ruff Microsoft Graph ETL Data Engineering

Data Engineer I

Elder Research

Apr 2024 - Apr 2026 (2 years)

Built scalable ELT pipelines and automated data ingestion from various sources, saving significant manual hours. Migrated a sales forecasting model from R to Python and authored a Data Engineering playbook to standardize workflows.

Python PySpark Azure Data Factory Azure Data Lake Databricks Unity Catalog SAP Microsoft Graph R ELT ETL Power BI Confluence Azure Wiki

Data Analyst

Kerridge Commercial Systems

Nov 2022 - Apr 2024 (1 year 5 months)

Built a Python GUI application for automated file cleansing and streamlined data imports into SQL Server. Developed a web scraper to automate tire data loading, reducing manual data retrieval by 96.6%.

Python Pandas SQL Server Web Scraping Object Oriented Programming Automation

Application Analyst

Universal Health Services

Mar 2018 - Nov 2022 (4 years 8 months)

Launched an online scheduling platform across 9 markets within a year, diversifying service offerings. Analyzed scheduling metrics to minimize cancellations and guided migration of SharePoint 2013 sites to SharePoint Online.

SharePoint Online Scheduling Data Analysis Project Management