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Ian Armstrong

@ianarmstrong

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Senior Analytics Engineer delivering end-to-end BI and scalable data engineering solutions.

United States

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What I'm looking for

I’m looking to lead end-to-end analytics delivery—data architecture, ETL/ELT, and executive dashboards—using a modern data stack. I want client-facing impact, strong data governance, and opportunities to keep scaling performance and innovation.

I’m a Senior Analytics Engineer with 13 years of experience delivering end-to-end BI and data engineering solutions across consulting and agency environments. I lead client-facing analytics engagements from discovery to production, translating business requirements into structured data models and executive-ready dashboards.

I design cloud-native data architectures on Snowflake and BigQuery, build scalable ETL/ELT pipelines using Python, dbt, and orchestration tools like Airflow and Prefect, and deliver measurable outcomes for clients in healthcare, fintech, and digital commerce. I also champion data governance (lineage, quality, access controls) and modern engineering practices (coding standards, reusable dbt packages, CI/CD) while mentoring engineers and integrating AI/ML models into production analytics workflows.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Mindgrub Technologies

Jan 2020 - Present (6 years 5 months)

Led end-to-end BI and data engineering delivery for multiple healthcare, fintech, and enterprise clients, owning analytics from discovery to production. Built reusable dbt/Python tooling that reduced delivery time by 30% and developed Tableau/Sigma dashboards for C-suite decision-making.

Python SQL DBT Snowflake BigQuery Airflow Fivetran Tableau Sigma CI CD

Software Engineer

SmartCommerce

Jul 2017 - Dec 2019 (2 years 5 months)

Engineered Python/SQL data pipelines for e-commerce transaction analytics and built Tableau dashboards for Click2Cart conversion and product availability insights. Improved reporting and dashboard performance—reducing reporting time by 50% and dashboard load times by 60%—and delivered ML demand forecasting integrated into Tableau.

Python SQL Tableau DBT Snowflake Airflow scikit learn Looker Jupyter REST APIs

Full Stack Engineer

LiveWorld

Jan 2013 - Jun 2017 (4 years 5 months)

Architected ETL pipelines processing millions of social media messages daily to support real-time moderation and compliance analytics for healthcare clients. Reduced query latency by 40%, cut data discrepancies by 30%, lowered infrastructure costs by 25% with AWS Lambda, and implemented compliance audit reporting for HIPAA.