Open to opportunities

Aaron Rehman

@aaronrehman

Message

Senior Data Engineer who builds scalable cloud data pipelines and real-time streaming lakehouse platforms.

United States

Message

What I'm looking for

I’m looking to lead end-to-end cloud data platform delivery—pipelines, lakehouse architecture, and real-time streaming—while building reliable governance, observability, and cost-efficient performance for production systems.

I’m a Senior Data Engineer with 7+ years of experience building scalable, cloud-native data solutions across healthcare, finance, and SaaS. I design end-to-end data pipelines—ingestion, transformation, and serving—alongside real-time streaming architectures and modern lakehouse platforms.

In my roles, I lead teams and modernize enterprise data platforms by standardizing ELT frameworks with Airflow and dbt, improving pipeline reliability, query performance, and data accuracy. I also drive cloud migrations, implement data governance/observability (quality, lineage, monitoring), and optimize cost and performance through strong data modeling and production-grade orchestration.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Aptask

Mar 2024 - Present (2 years 3 months)

Led a team of 4–8 data engineers to deliver cloud-native AWS/Azure data platforms processing millions of records daily. Architected Kafka/Spark streaming pipelines and standardized Airflow/dbt/Glue ELT frameworks, reducing data latency by 60%+ and improving reliability by 40%, while optimizing Snowflake/Databricks performance by 30–50% and cutting infrastructure costs by 30%+.

Kafka AWS Glue Airflow DBT Snowflake Databricks Data Governance Lakehouse Architecture

Data Platform Engineer

Lark Health

Aug 2020 - Feb 2024 (3 years 6 months)

Designed scalable batch and real-time data pipelines using Spark, Kafka, and Azure Data Factory to support high-volume processing. Built enterprise analytics-ready data models and automated Airflow/dbt orchestration, improving workflow efficiency and reliability, and contributed to Snowflake/Azure Synapse cloud migration.

Apache Spark Kafka Azure Data Factory Airflow DBT Data Modeling Data Vault Azure Synapse Snowflake

ETL & Data Warehouse Engineer

CareCloud

Nov 2018 - Jul 2020 (1 year 8 months)

Developed and maintained ETL pipelines using SQL, Python, and SSIS for enterprise data warehouse systems. Optimized warehouse schemas and ETL performance through partitioning, indexing, and query tuning, improving data accuracy and reliability via validation, cleansing, and reconciliation.