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🎯 Senior Data Engineer | Snowflake | Databricks | Airflow | Python

I'm a results-driven Data Engineer with over 7 years of experience designing and scaling high-performance, cost-efficient data solutions. I specialize in cloud data platforms like Snowflake and Databricks, workflow orchestration with Apache Airflow, and large-scale data pipelines using Python and SQL.

I'm currently working at Turing (Kiavi), where I focus on:

• 💸 Saved 20ドルk+/year by optimizing Snowflake upserts and improving storage/query performance
• 🔄 Migrated 100+ data pipelines to Airflow 2 using reusable, standardized code that reduced maintenance and enforced best practices
• 🛎️ Built an early-warning system for data warehouse schema changes—integrated with CI/CD and issue tracking tools
• 📊 Enhanced data quality and reliability by introducing automated validations and increasing dataset coverage through robust transformations
• 🧰 Developed a CLI toolkit to automate repetitive engineering tasks like table syncing, metadata extraction, and dataset testing
• 🧠 Improved data observability by refining alert logic and schema ownership in a monitoring platform
• 🔐 Centralized secret management using a secure vault and automated environment configuration for streamlined onboarding
• 📬 Automated large-scale data exports and reports, reducing manual effort and increasing delivery consistency
• 📚 Produced in-depth documentation that accelerated onboarding and standardized data engineering practices across the team

I thrive in fully remote, global teams and am passionate about building scalable, well-documented systems that align technical excellence with real business impact.

"And let us not grow weary of doing good, for in due season we will reap, if we do not give up." – Galatians 6:9