I’m Selenge Tulga , I’m a Data Engineer with 7 years (4.5 DE + 2.5 SWE) of experience and a background in Computer Science (B.S.) and Data Science (M.S.). I focus on building reliable, production-grade data platforms that replace manual reporting and support finance, operations, and business decision-making.
I enjoy working at the intersection of data systems, analytics, and real-world constraints, with a strong emphasis on data correctness, observability, and long-term maintainability. I care less about flashy tools and more about systems that are easy to reason about and trust.
📍 Based in Austin, TX 🇺🇸
- Warehousing & Modeling: Snowflake, dbt, PostgreSQL, Redshift
- Pipelines & Orchestration: Airflow, AWS Glue, ETL/ELT
- Streaming & Processing: Kafka, Spark (when scale or latency requires it)
- Cloud: AWS (primary)
- Visualization: Tableau, Power BI, Amazon QuickSight
I choose tools based on reliability, scale, and operational needs — not trends.
- AWS Certified Data Engineer – Associate
- AWS Certified Machine Learning Engineer – Associate
- AWS Certified Machine Learning – Specialty
- Databricks Certified Data Engineer – Associate
- Databricks Certified Data Engineer – Professional
- Preparing for Data Engineer II / Senior Data Engineer roles
- Deepening expertise in SQL, data modeling, and system design
- Building small, focused projects that demonstrate production-ready data pipelines
- Practicing failure handling, monitoring, and data quality patterns
⭐ If you’re interested in reliable data systems, pragmatic architecture, or clean analytics foundations, feel free to connect.
