Open to opportunities

Noah A User

@noaha

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Senior data engineer specializing in cloud-native streaming, lakehouse, and real-time analytics.

United States

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What I'm looking for

I seek a technical leadership role building cloud-native, streaming-first data platforms where I can own architecture, mentor engineers, and deliver production data/ML solutions.

I am a Senior/Lead Data Engineer with 11+ years building and scaling modern data platforms in startup and high-growth environments, specializing in real-time streaming, cloud-native architectures, and Lakehouse patterns.

I design and implement high-throughput streaming and batch pipelines using Kafka, Flink, Spark, Databricks, Snowflake, and cloud services across AWS, GCP, and Azure, and I’ve driven solutions that reduced stock-outs by 20% and enabled near real-time operational analytics.

I provide technical leadership and mentorship, own end-to-end data architecture, and partner with product and business teams to deliver reliable, performant data solutions that support analytics, ML, and data-driven decision-making.

Experience

Work history, roles, and key accomplishments

Current

Principal Data Integration Engineer

Current

Falkonry

Sep 2021 - Present (4 years 5 months)

Designed and implemented real-time streaming pipelines and Lakehouse architectures using Kafka, Flink, Spark, and Snowflake, delivering predictive ML pipelines that reduced stock-outs by 20% and enabled near-real-time operational analytics.

Apache Kafka Apache Flink Apache Spark Databricks Snowflake Terraform Python AWS S3 Delta Lake

Data Engineering Team Lead

Current Health

May 2018 - Jul 2021 (3 years 2 months)

Led development of a cloud-native health data platform ingesting real-time wearable data with Kafka and Spark, built GCP-based data lakes and BigQuery analytics, and integrated ML features to enable personalized recommendations and near-real-time insights.

Apache Kafka Apache Spark GCP BigQuery Python Data Modeling Apache NiFi ETL SQL

Data Engineer

Seeq Corporation

Feb 2015 - Apr 2018 (3 years 2 months)

Built real-time document ingestion, indexing, and retrieval pipelines using Kafka and Flink, implemented Parquet-based cloud storage and OCR ETL, and deployed infrastructure-as-code for scalable AWS/Azure environments.