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, Prefect, AWS Glue, ETL/ELT
- Streaming & Processing: Kafka, Flink, Spark, Databricks (when scale or latency requires it)
- Cloud: AWS (primary), GCP
- Visualization: Tableau, Power BI, Amazon QuickSight
- 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
- Real-time trending topics pipeline: Kafka → PySpark Structured Streaming → AWS lakehouse (Parquet, idempotent writes)
- AI-powered data quality monitor: Airflow + dbt + Great Expectations + Claude API → Slack alerts in under 30 seconds
- Practicing failure handling, monitoring, and data quality patterns