Tyler Tennant

I've built scalable batch and streaming data platforms at Flex & Gate, using Apache Spark, Kafka, AWS, and GCP to improve data retrieval, real-time analytics, and enterprise machine learning workloads.

I design ETL/ELT pipelines, data lakes, warehouses, feature stores, and data integration frameworks with Python, SQL, Apache Airflow, AWS Glue, and AWS Lambda. I also productionize model training and deployment workflows with SageMaker and Vertex AI alongside data scientists and ML engineers.

My work emphasizes reliable, governed data: I’ve established metadata management, lineage, observability, security, and compliance practices, including GDPR and HIPAA-aligned controls. I use Terraform, CloudFormation, Kubernetes, CI/CD, and monitoring tools such as Monte Carlo and Databand to make cloud data systems resilient and efficient.

Earlier, I built pipelines and event-driven analytics architectures at Spectral Energies and supported foundational ETL, data quality, and warehouse work at Six Flags. I’m motivated by complex data challenges that turn trusted data into actionable insights and AI/ML innovation.