Open to opportunities

Kevin Gibbons

@kevingibbons

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Experienced Data Engineer building scalable ETL pipelines and cloud data platforms.

United States

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What I'm looking for

I seek a senior data engineering role where I can design scalable cloud data platforms, lead ETL/streaming initiatives, improve data quality, and enable self-service analytics within a collaborative team.

I am an experienced Data Engineer with over eight years building scalable data platforms, ETL/ELT pipelines, and streaming solutions across AWS, Azure, and GCP. I specialize in Python, SQL, PySpark, and distributed data processing to deliver production-grade data services.

At GDIT I architected and maintained pipelines across Databricks, Snowflake, and Redshift that processed billions of records daily, implemented Airflow orchestration that improved reliability by 85%, and delivered real-time streaming integrations into BigQuery.

Previously at Nordstrom and RTI International I designed cost-efficient Spark-based ETL on EMR, established encrypted S3 data lakes with CDC ingestion, automated deployment with CI/CD, and built data quality frameworks and validation routines that reduced costs and improved trust in analytics.

I hold Google Professional Data Engineer, AWS Data Analytics – Specialty, and Databricks Data Engineer Associate certifications, and I seek to apply my expertise in data architecture, automation, and modern cloud data stacks to enable self-service analytics and reliable, high-performance data products.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

GDIT

Sep 2022 - Present (3 years 9 months)

Architected and maintained ETL/ELT pipelines on Databricks, Snowflake, and Redshift processing billions of records daily; improved pipeline reliability by 85% through automated Airflow workflows and data quality frameworks.

Python Pyspark SQL Databricks Airflow Snowflake Redshift Data Quality Kafka REST APIs

Technical Business Analyst

Nordstrom

Jul 2019 - May 2022 (2 years 10 months)

Designed high-performance Spark ETL pipelines and Airflow ELT workflows processing billions of retail records, reducing compute costs by 40% and enabling self-service analytics via Athena/Presto and Metabase.

Spark EMR Airflow S3 Terraform AWS Glue Athena Metabase

Data Analyst/Researcher

RTI International

Oct 2016 - Jun 2019 (2 years 8 months)

Built ETL pipelines with Azure Data Factory and SQL Server to process large operational datasets and implemented validation routines that improved data quality for audit and compliance teams.

Azure Data Factory SQL Server T SQL Hive HDFS Python Data Validation Oracle Redis

Education

Degrees, certifications, and relevant coursework

University of Texas at Austin

Bachelor's Degree, Computer Science

2012 - 2016

Completed a Bachelor's degree at the University of Texas at Austin from September 2012 to May 2016 focusing on foundational coursework supporting a career in data engineering.