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Shane Stevens User

@shanestevensuser3

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Senior Data Engineer driving cloud data platforms, streaming solutions, and cost-efficient ETL at scale.

United States

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What I'm looking for

I seek senior data engineering roles building scalable cloud data platforms and streaming architectures, with emphasis on performance optimization, cost efficiency, and cross-functional leadership.

I am a Senior Data Engineer with 10+ years designing and implementing enterprise-scale cloud data platforms and real-time streaming solutions across AWS, GCP, and Azure. I specialize in Apache Spark, Kafka, Airflow, and Snowflake, and have led cross-functional teams to deliver platform modernization, achieving $150,000+ in annual cost savings and 60% performance improvements.

My work includes architecting serverless ETL pipelines, orchestrating complex Airflow workflows, optimizing Redshift and Snowflake performance, and integrating ML pipelines for real-time inference. I prioritize scalable, reliable data architectures that improve operational efficiency and enable data-driven decisions for enterprise stakeholders.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Haithem Tech

Jan 2020 - Present (6 years 5 months)

Architected enterprise-scale AWS data pipelines processing 10TB+ daily, migrated 100+ legacy jobs to serverless ETL saving $150,000 annually, and led a team of 5 to deliver platform modernization projects with 99.9% uptime.

AWS Glue Pyspark Apache Airflow Amazon Redshift Python ETL MLFlow Sagemaker

Data Engineer

Sisense

Jan 2015 - Jan 2020 (5 years)

Built Spark and Kafka streaming pipelines processing 5TB+ daily, consolidated Redshift warehouses to improve query performance 35%, and automated ingestion with Airflow reducing manual work by 70%.

Apache Spark Apache Kafka Airflow Amazon Redshift Python Docker Kubernetes Tableau)Tableau

Junior Data Engineer

Enigma Technologies

Jan 2012 - Jan 2015 (3 years)

Developed SQL and Python ETL processing 1TB+ monthly, built OLAP cubes with SSAS, supported AWS migration reducing costs 25%, and automated ETL with SSIS and Python improving efficiency 40%.

SQL Python SSIS SSAS ETL Data Quality

Education

Degrees, certifications, and relevant coursework

University of Vermont

Bachelor of Science, Computer Science

Bachelor of Science in Computer Science from the University of Vermont; coursework and projects focused on software engineering, data structures, and algorithms.