Open to opportunities

Ali Bangash

@alibangash2

Message

Data architect and engineer who builds scalable cloud-native data platforms for analytics and AI.

United States

Message

What I'm looking for

I seek senior roles building cloud-native, scalable data platforms where I can lead architecture, mentor teams, and deliver governed, ML-ready data products.

I am an experienced Data Architect and Data Engineer with a proven record of designing and delivering large-scale, cloud-native data platforms that support enterprise analytics, AI, and mission-critical workloads.

I translate complex business and domain requirements into scalable conceptual, logical, and physical data models, architect end-to-end batch and real-time pipelines, and establish governance, lineage, and quality frameworks to ensure secure, reliable, and maintainable data products.

I provide technical leadership across AWS, Azure, and OCI, mentor engineering teams, partner with data scientists and product leaders, and drive platform evolution to enable advanced analytics, ML-ready datasets, and cost-efficient, resilient data infrastructures.

Experience

Work history, roles, and key accomplishments

Current

Data Architect

Current

Motherduck

Oct 2022 - Present (3 years 3 months)

Led design of large-scale, cloud-native data platforms integrating lakes, warehouses, and streaming systems to support enterprise analytics and AI, standardizing technologies across AWS, Azure and OCI and establishing governance to ensure data quality and compliance.

Data Architecture Lakehouse Data Governance AWS Azure Data Modeling Streaming Batch Processing

Big Data Engineer

Infinitus Systems, Inc.

Jun 2018 - Aug 2022 (4 years 2 months)

Architected and implemented large-scale platforms ingesting high-volume, high-velocity data with batch and real-time pipelines, improving reliability and performance through parallel processing and governance practices.

Apache Spark Kafka Hadoop Batch Processing Cloud Platforms Data Governance Performance Tuning

Data Engineer

Gravitee.io

Mar 2015 - Apr 2018 (3 years 1 month)

Designed and maintained scalable pipelines and lakehouse/warehouse architectures for analytics and ML, enforcing data quality, lineage and orchestration to deliver reliable, production-ready datasets.