Open to opportunities

Tanner Gilbreath

@tannergilbreath1

Message

Senior Data Engineer specializing in cloud-native, production-grade data and MLOps platforms.

United States

Message

What I'm looking for

I seek senior data engineering roles where I can build scalable cloud-native data and MLOps platforms, mentor teams, improve observability, and drive cost- and performance-optimizations in collaborative, product-focused environments.

I am a Senior Data Engineer with 10+ years building and scaling cloud-native data platforms across AI, healthcare, and financial services. I design production-grade batch and real-time pipelines that enable machine learning and analytics at TB scale.

My work focuses on modern data stacks and MLOps: Airflow, Spark, Kafka, dbt, Snowflake/BigQuery, and AWS. I have delivered in-database ML workflows, real-time inference pipelines, and feature engineering systems that reduce model preparation time and inference latency.

I lead performance tuning, cost optimization, observability, and data quality initiatives, driving measurable improvements such as 30% cost reduction and 50% fewer pipeline failures. I also enforce compliance and security standards, including HIPAA-aligned architectures.

I mentor engineers, run design reviews, and contribute to open-source connectors and CI/CD practices. I collaborate closely with ML, product, and analytics teams to translate business requirements into resilient, high-impact data solutions.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

MindsDB

Sep 2022 - Present (3 years 4 months)

Designed and scaled production-grade batch and real-time data ingestion and feature pipelines for an AI-native database, reducing model preparation time by 40% and cutting infrastructure costs by 30% while achieving sub-200ms inference latency in production.

Python Apache Airflow Kafka AWS Snowflake DBT Real Time AI Inference MLOps PostgreSQL

Data Engineer

Sword Health

May 2020 - Aug 2022 (2 years 3 months)

Built and scaled end-to-end batch and streaming pipelines for IoT and clinical event data supporting 100K+ patients, improved query performance by 40%, and reduced reporting errors by 30% through data quality frameworks.

Python Apache Spark AWS Glue Kinesis Redshift Snowflake Great Expectations Airflow CI CD

BI Developer

Capital One

Nov 2017 - Apr 2020 (2 years 5 months)

Developed enterprise BI dashboards and scalable ETL pipelines for credit risk and portfolio analytics, reducing manual reporting cycles by 40% and cutting complex query runtimes by over 30%.

SQL Server Teradata SSIS SSAS Power BI T SQL Python Data Modeling

Data Analyst

Infovision

Feb 2015 - Oct 2017 (2 years 8 months)

Built BI dashboards and automated ETL pipelines to consolidate CRM/ERP data, improving executive visibility and reducing manual reporting cycles by 40% while cutting query response times by 30%.