Open to opportunities

Allen M

@allenm1

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Senior Data Engineer specializing in cloud-native, real-time data platforms and scalable AI/ML pipelines.

United States

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What I'm looking for

I seek a senior data engineering role designing cloud-native, secure, real-time data platforms that integrate ML/AI, emphasize data quality, and enable measurable business impact.

I am a Senior Data Engineer with 9+ years building scalable, cloud-native data solutions across AWS, Azure, and GCP, specializing in ETL/ELT, real-time streaming, and modern data architectures.

I have designed and delivered large-scale pipelines and data warehouses (processing terabytes daily), implemented observability and data quality frameworks (Great Expectations, Deequ), and integrated MLOps for predictive analytics and RAG workflows.

I prioritize secure, compliant platforms (HIPAA, SOC2, GDPR) and cost-optimized infrastructure using Terraform, Kubernetes, and CI/CD to drive measurable business outcomes and operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Labelbox

Dec 2022 - Present (3 years 7 months)

Designed and implemented ETL/ELT pipelines processing 5TB daily and built real-time streaming applications that reduced incident response time by 60%, while ensuring 99.99% uptime for production data systems.

DBT Spark Terraform Docker Kubernetes Great Expectations Kafka Airflow

Cloud Data Engineer

BlueLight

Oct 2019 - Nov 2022 (3 years 1 month)

Architected hybrid cloud data platforms unifying operational and patient data, built high-throughput pipelines enabling near-real-time patient alerting, and implemented data quality frameworks to maintain HIPAA and SOC 2 compliance.

Azure Synapse Data Factory Apache Flink Kafka Streams DBT Docker Kubernetes Terraform

Data Infrastructure Engineer

Teza Technologies

Jul 2016 - Aug 2019 (3 years 1 month)

Built and maintained CI/CD pipelines and deployed trading data pipelines on cloud platforms to ensure high availability and low latency, automating infrastructure provisioning and improving delivery speed for financial data systems.