Open to opportunities

Harlow Intezar

@harlowintezar

Message

Principal Data Architect specializing in scalable cloud-native, real-time data platforms.

United States

Message

What I'm looking for

I seek senior engineering or architecture roles building cloud-native, real-time data platforms with strong governance, observability, and team leadership.

I am a Principal Data Architect with over 10 years of experience designing scalable data platforms, real-time streaming pipelines, and cloud-native architectures. I focus on delivering high-availability, low-latency, cost-optimized solutions for enterprise-scale, multi-terabyte data systems.

I have deep hands-on expertise across AWS, GCP, and Azure, and with technologies such as Apache Spark, Kafka, Flink, and Airflow. I design lakehouse architectures, implement metadata lineage and governance, and build robust CI/CD and infrastructure-as-code practices.

In prior roles I built sub-second streaming pipelines, reduced ETL runtimes on multi-terabyte workloads, and implemented data quality frameworks and RBAC to improve compliance and operational reliability. I also mentor engineering teams on performance optimization and modular pipeline design.

I seek opportunities where I can architect and operationalize large-scale data platforms, drive data governance and observability, and lead teams to deliver resilient, cost-effective data solutions.

Experience

Work history, roles, and key accomplishments

Current

Lead Senior Data Engineer

Current

Attribute

Jun 2022 - Present (3 years 4 months)

Designed cloud-native ETL and real-time streaming pipelines on AWS, achieving sub-second latency and improved compliance via metadata lineage; automated deployments with Terraform and Jenkins to reduce errors and optimize costs.

AWS Glue Amazon Redshift Lambda Apache Kafka Terraform Jenkins Data Governance

Senior Data Platform Engineer

Square

Jan 2019 - May 2022 (3 years 4 months)

Designed lakehouse architectures on S3/Delta Lake and built real-time pipelines with Kafka and Flink; automated deployments with Jenkins and Airflow and implemented data quality frameworks to improve reliability.

AWS S3 Delta Lake Apache Kafka Apache Flink Apache Airflow Jenkins Great Expectations Redshift BigQuery

Data Engineer

BioInfo Systems

Nov 2016 - Dec 2018 (2 years 1 month)

Built ETL pipelines processing over 2TB daily, reduced runtimes by hours, implemented CDC with Debezium achieving sub-5s latency, and delivered BI dashboards automating reporting across 12 business units.

Python SQL PostgreSQL MySQL Debezium Hive Power BI Tableau

Data Engineering Associate

Vistech

Nov 2014 - Oct 2016 (1 year 11 months)

Developed and maintained large-scale Airflow/Python ETL pipelines, consolidated operational systems into a centralized warehouse, and implemented monitoring with Prometheus and Grafana to improve observability.