Aley Ban

Architected enterprise Lakehouse and DataMesh platforms (Databricks, Iceberg) supporting large-scale AI/ML workloads; built real-time pipelines that reduced critical trade latency by 65% and cut fraud detection times from hours to sub-seconds via LLM and vector DB integrations.

Designed enterprise warehouses on Snowflake, Redshift, and BigQuery to deliver 50% faster queries; built streaming analytics (Kafka + Spark Streaming) reducing latency by 60% and automated ETL/ELT with Airflow and dbt to cut manual intervention by 30%.

Built scalable ETL pipelines and optimized Postgres/MySQL performance to improve query speeds by 50%; developed BI dashboards for executive KPIs and enhanced data security and validation frameworks for regulated financial datasets.

Designed ETL workflows with Informatica and SQL Server to reduce pipeline runtime by 50% and built fraud-detection pipelines integrating early ML models to improve anomaly detection accuracy.

AWS Certified Solutions Architect – Professional certification listed among professional credentials.

Google Cloud Professional Data Engineer certification listed among professional credentials.

Microsoft Azure Data Engineer Associate certification listed among professional credentials.

Databricks Certified Data Engineer credential listed among professional certifications.

SnowPro Certified credential listed among professional certifications.