Open to opportunities

Aria Iqbal

@ariaiqbal

Message

I build multi-cloud data platforms, lakehouses, and real-time AI pipelines.

United States

Message

What I'm looking for

I'm looking to lead architecture and engineering for multi-cloud data platforms, lakehouse modernization, real-time analytics, and production AI data pipelines, while guiding teams on governance, DataOps, and FinOps.

At Intuscare, I architect multi-cloud data mesh platforms across AWS and Azure, deploying containerized processing clusters with Terraform, Helm, and Kubernetes.

I migrated legacy Hadoop and Hive systems to an Apache Iceberg lakehouse on AWS S3, reducing query latency by 45% with Trino. I also built Kafka and Flink ingestion processing more than 450 million events daily and reduced production data incidents by 60% through DataOps governance.

I lead FinOps optimization across Snowflake, BigQuery, Redshift, and Synapse, cutting compute spending by 35%. My work also includes vector database and RAG pipelines for production AI inference, plus globally distributed Cosmos DB and Cloud Bigtable systems with sub-10ms write paths.

Previously at Starschema and solace, I built governed ELT/ETL platforms, enterprise warehouses, CI/CD delivery pipelines, and self-service analytics. I’ve worked across Spark, dbt, Databricks, Azure Data Factory, Python, Scala, SQL, and modern cloud data infrastructure.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Architect & Principal Engineer

Current

Intuscare

Jan 2024 - Present (2 years 8 months)

Architected a multi-cloud Data Mesh strategy across AWS and Azure, migrating legacy Hadoop/Hive to an Iceberg Lakehouse, reducing query latency by 45%. Designed real-time streaming with Kafka and Flink processing over 450 million events per day, and implemented FinOps optimizations cutting compute costs by 35%.

Senior Data Engineer & Architect

Starschema

Mar 2021 - Dec 2023 (2 years 9 months)

Engineered scalable ELT/ETL pipelines using Azure Data Factory, Fivetran, Airbyte, and Apache Airflow, and built enterprise transformations with PySpark, Scala, and dbt. Designed relational tiering with AWS Aurora and Azure SQL Managed Instance, and developed near-real-time ingestion via GCP Pub/Sub and Dataflow.

Data Architect

Solace

Jun 2018 - Feb 2021 (2 years 8 months)

Designed enterprise data warehouses using Dimensional Modeling, Star/Snowflake Schemas, and DataVault 2.0, and implemented ETL/ELT pipelines with SQL, Python, and Bash. Optimized PostgreSQL and MySQL environments, improving transactional performance by 30%, and built a Medallion Architecture using Databricks.