Open to opportunities

A. Bangash

@alibangash2

Message

I am a Data Solution Architect specializing in real-time scalable data engineering.

United States

Message

What I'm looking for

I seek senior roles building scalable, real-time cloud data platforms where I can lead teams, drive cloud migrations, enforce governance, and deliver measurable performance and business impact in collaborative, data-driven environments.

I am a Data Solution Architect and Big Data Engineer with deep experience designing, building, and optimizing latency-conscious data platforms across cloud and on-prem environments. I specialize in real-time streaming, ETL pipeline optimization, data lakehouse architectures, and enterprise data warehousing.

I have led end-to-end cloud migrations and performance tuning projects that delivered measurable improvements—including major query performance gains and decreased maintenance overhead—while implementing governance, lineage, and compliance for regulated data domains.

I mentor and lead cross-functional teams, deploy ML models on Databricks, and apply DevOps practices (Docker, Kubernetes, CI/CD) to enable automated, reliable data operations that accelerate business insights and decision-making.

Experience

Work history, roles, and key accomplishments

Data Engineer

ProCogia

Designed, developed, and maintained ETL pipelines using Talend, SSIS, and Apache NiFi and architected dimensional data warehouses with fact-dimension modeling to support HIPAA-compliant healthcare and financial analytics.

Talend SSIS Apache NiFi ETL Dimensional Models Data Warehouse AWS Data Governance

Data Engineer

Flatiron Health

Developed scalable ETL pipelines with Apache Beam, Python, and Google Cloud Dataflow processing over 10 million financial records daily and implemented real-time feature engineering that reduced fraud-detection false positives by 18%.

Apache Beam Python Google Cloud Dataflow Databricks MLFlow Feast Real Time Feature Engineering Great Expectations

Data Solution Architect

ApTask

Architected and deployed real-time data streaming infrastructure using Apache Kafka and Apache Flink, improving operational responsiveness by 35%. Led end-to-end migrations to cloud data platforms (Snowflake, Databricks, Redshift, BigQuery), improving query performance 60% and reducing maintenance overhead 70%.