About
Alex Huggler
Senior Data Engineer · Analytics Engineering · Dallas, TX
I'm a senior data and analytics engineer with six years at AT&T building production data platforms on Azure and Databricks. My work spans PySpark ingestion, dbt analytics models, BI delivery, streaming systems, and data quality. I specialize in turning ambiguous fraud, revenue, and operational problems into reliable pipelines and decision-ready analytics.
Recent impact: $900K+/yr fraud-loss reduction identified or enabled, analytics ownership of a $2.2B portfolio. Currently focused on streaming, lakehouse patterns, and applied AI for data engineering productivity.
I treat tests, observability, runbooks, and data contracts as part of the deliverable.
Stack proficiency
| Area | Tools | Level |
|---|---|---|
| Compute | PySpark, Apache Spark Structured Streaming, Databricks | Expert |
| Cloud | Azure (ADF, ADLS Gen2, Synapse), AWS (S3, Glue, Athena) | Advanced |
| Lakehouse | Delta Lake, Apache Iceberg, Parquet | Advanced |
| Warehouse | Snowflake, Synapse Dedicated SQL | Advanced |
| Modeling | dbt, SQL, dimensional modeling | Expert |
| Orchestration | Apache Airflow, ADF, Databricks Workflows | Advanced |
| Streaming | Apache Kafka, Spark Structured Streaming | Advanced |
| Languages | Python, SQL, Bash, a little Scala | Expert |
| Infra | Terraform, Docker, GitHub Actions | Working |
| ML / AI | Azure ML, Anthropic API, prompt engineering for data tooling | Working |
Contact
- GitHub: github.com/AlexHuggler
- LinkedIn: www.linkedin.com/in/alexhuggler
- Resume: download PDF