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Daniel Stephens

@danielstephens

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Senior Data Engineer specializing in scalable pipelines, cloud, and data quality.

United States

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What I'm looking for

I seek senior engineering roles building scalable, well-governed data platforms with strong emphasis on data quality, cloud-native architecture, automation, and collaborative teams that value mentorship and impact-driven analytics.

I am a Senior Data Engineer with 10+ years building scalable ETL pipelines, data warehouses, and cloud solutions across AWS, Azure, GCP, and Snowflake. I focus on data quality, governance, and delivering business-driven insights that enable analytics and ML.

My experience includes designing secure data integrations for healthcare (HIPAA/PHI), leading data platform migrations, and implementing orchestration and CI/CD for reliable pipelines using Airflow, DBT, Docker, and Kubernetes. I build APIs and real-time streaming with Kafka/Kinesis and develop data models to support reporting and ML workflows.

I mentor junior engineers, collaborate with cross-functional teams, and drive data governance and monitoring using Datadog, Splunk, and ELK. I deliver dependable, well-documented solutions that improve data quality, reduce downtime, and support strategic decision-making.

Experience

Work history, roles, and key accomplishments

Current

Senior Integration Engineer

Current

AssistRx

Nov 2024 - Present (1 year 7 months)

Designed and maintained ETL pipelines to ingest and transform client and third-party data into CRM platforms, resolved production incidents to minimize downtime, and implemented HIPAA-compliant workflows for secure PHI/PII processing.

ETL Python Data Quality HIPAA)Airflow Snowflake Data Integration Root Cause Analysis HIPAA

Senior Data Engineer

Dell Technologies

Sep 2023 - Nov 2024 (1 year 2 months)

Designed and optimized scalable data pipelines and Snowflake-based data warehousing, implemented data governance and real-time streaming solutions, and mentored junior engineers to improve data reliability and analytics delivery.

Python Snowflake Airflow Kafka AWS Azure DBT PostgreSQL Pyspark

Data Engineer

Optimizely

Mar 2019 - Sep 2023 (4 years 6 months)

Built and managed ETL pipelines consolidating AWS, Snowflake, and MongoDB data into a central warehouse, implemented data validation and security controls, and supported UAT and performance tuning for analytics workflows.

Python DBT Snowflake MongoDB Power BI Docker Azure SQL Data Validation

Data Engineer

Miro

Sep 2015 - Mar 2019 (3 years 6 months)

Developed ETL processes and data architectures (data lakes/warehouses) using Airflow, dbt, Spark and S3/HDFS, delivered analytics and reporting solutions, and automated CI/CD for scalable data processing.

Airflow DBT Spark Hadoop S3 Python Sisense Kubernetes CI CD

Education

Degrees, certifications, and relevant coursework

University of Texas at Austin

Bachelor of Science, Computer Science

2011 - 2015

Completed a Bachelor of Science in Computer Science with coursework in programming, data structures, and systems engineering; prepared for data engineering roles.