John Cardona
Analytics Engineer
Data professional with 4+ years of experience building ETL pipelines, data warehouses and API integrations across Healthcare and Manufacturing. I design end-to-end data solutions using Python, SQL, dbt and Google Cloud Platform, from raw ingestion to analytics-ready models. My background in Industrial Engineering adds a process-improvement perspective to every data system I build.
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Engineering data systems that drive decisions
My path from Industrial Engineering to data engineering reflects a consistent focus on one thing: Building systems that make data reliable and useful. Currently, I design and maintain Python-based ETL pipelines and API validation workflows that ensure data integrity across healthcare platforms. In parallel, I design end-to-end data engineering projects, from a PostgreSQL data warehouse to a production-grade GCP stack with BigQuery, dbt, and GitHub Actions CI/CD. Applying data architecture, modeling and engineering to real datasets.
I target roles where engineering rigor and analytical thinking meet. Analytics Engineer, Data Engineer and Senior Data Analyst positions where clean pipelines, well-modeled data and business impact are equally valued.
Download My ResumeCore Skills
- Python
ETL pipelines, API integrations, Data analytics - SQL
Data modeling, Data validation - dbt
Transformations, testing, documentation - GCP & BigQuery
Cloud data warehouse, GCS, CLI workflows - Data Warehousing
Medallion Architecture, Star Schema - CI/CD
GitHub Actions, automated dbt pipelines - BI & Visualization
Tableau, Power BI