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Joshua Montoya

@joshuamontoya

Senior systems engineer specializing in scalable Python/SQL ETL pipelines and structured datasets for critical business workflows.

United States

Message

What I'm looking for

I’m looking to build and scale data pipelines—ETL/ELT with Python, SQL, Airflow, and dbt—so teams get reliable, query-ready datasets. I want ownership of data architecture, performance tuning, and long-term maintainable systems.

I’m a data-focused systems engineer with 10+ years building scalable batch ETL pipelines in Python and SQL to ingest, validate, transform, and load data into structured databases. I model and structure production datasets to improve data accessibility and reduce data preparation time by over 50%, while reconciling IDs across disparate schemas to eliminate redundant work.

I also manage and optimize relational production data systems—schema design, performance tuning, and debugging data integrity issues—and collaborate with cross-functional teams to define data requirements and integration decisions. From orchestrating pipelines for analytics in BigQuery to prototyping real-time image ingestion as an intern, I’m consistently driven by reliable, maintainable data systems that stand up under real business workflows.

Experience

Work history, roles, and key accomplishments

Current

Senior Systems Engineer

Current

L3Harris Technologies

Oct 2015 - Present (10 years 7 months)

Designed and built scalable batch ETL pipelines in Python and SQL to ingest, validate, transform, and load data into structured production databases. Improved downstream data accessibility and reduced data preparation time by over 50%, and automated ID reconciliation to eliminate redundant work across asynchronous development.