Open to opportunities

Jason A

@jasona

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Senior data engineer delivering lakehouse architectures, real-time pipelines, and GitOps-driven platforms.

United States

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What I'm looking for

I seek senior engineering roles building scalable lakehouse and real-time data platforms, driving GitOps and self-service tooling, with emphasis on mentorship, security, and cost-efficient cloud architectures.

I am a senior data engineer with over 10 years building governed lakehouse platforms, real-time streaming pipelines, and self-service data tooling that enable analytics and ML at scale. I design cost-conscious cloud architectures, drive GitOps adoption, and mentor engineers while delivering trusted, production-ready datasets for stakeholders.

My achievements include implementing Databricks Delta Lake with Unity Catalog, rolling out GitOps with ArgoCD/Flux/Helm, building streaming fraud-detection pipelines with Kafka and Flink, and operationalizing ML with Kubeflow and Vertex AI. I prioritize observability, security (dynamic masking, row-level security), and transformation governance using dbt to ensure measurable business impact.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

First Team IT

Jun 2021 - Present (4 years 5 months)

Built a governed Databricks Delta Lake lakehouse and Unity Catalog, implemented GitOps deployments, and delivered self-service onboarding and cost controls that improved platform reliability and reduced cloud spend variability. Mentored eight engineers and rolled out observability and data governance across analytics and ML teams.

Databricks Delta Lake Unity Catalog Spark Airflow fastAPI Prometheus Grafana DBT

Big Data Engineer

StoredTech

Sep 2018 - May 2021 (2 years 8 months)

Designed Kafka/ksqlDB/Flink streaming pipelines for real-time fraud detection and customer 360 analytics, migrated multi-petabyte Hadoop workloads to GCP BigQuery ahead of schedule, and productionized ML with Kubeflow and Vertex AI. Implemented monitoring and dbt for transformation governance to deliver trusted daily metrics.

Kafka Apache Flink Spark BigQuery Kubeflow Prometheus Grafana DBT

Data Engineer

Red Cup IT

Jul 2015 - Aug 2018 (3 years 1 month)

Developed and maintained large-scale Spark and Hive ETL processing terabytes nightly on YARN, converted logs to partitioned Parquet to accelerate BI reports, and automated cluster scaling and runbooks to reduce on-call load. Delivered well-documented datasets with minimal rework.