I'm a data engineer with over 20 years of SQL experience and a deep commitment to building data systems that are not just powerful, but ethical, private, and safe. I recently launched SchemaNest, a data engineering studio focused on modern pipelines built with care. We specialize in privacy-aware architecture, dbt modelling, real-time dashboards, and AI-enhanced data workflows, all designed to scale and protect. My work blends technical depth (BigQuery, Airflow, Streamlit, dbt) with strong data governance principles: PII redaction, consent-aware design, testing, and safe demo environments powered by synthetic data. SchemaNest was founded in 2024, built on years of freelance and enterprise experience delivering SQL and data solutions for teams across finance, food, and tech. Focusing on dbt development & testing Cloud data architecture (GCP, BigQuery, Azure) Streamlit dashboards with AI features Schema validation, metadata tagging, and SLA monitoring Safety-aware features for at-risk users and ethical modelling I'm currently open to freelance, contract, and consulting opportunities where trust, data quality, and privacy matter.
| Website | https://schemanest.com |
| Employees | 1 (0 on RocketReach) |
| Founded | 2024 |
| Industry | IT Services and IT Consulting |
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