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

Data Surge LLC

Oct 2022 - Present (3 years 8 months)

Owned enterprise data architecture for healthcare analytics and AI platforms, delivering governed datasets across Databricks, Delta Lake, and Snowflake and reducing operational latency from hours to minutes via Kafka + Spark Structured Streaming.

Databricks Delta Lake Snowflake Spark Structured Streaming Kafka Airflow DBT AWS S3 Terraform

Current

Data Architect

Current

Motherduck

Oct 2022 - Present (3 years 8 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

Senior Data Engineer / Lead

Infinitus Systems, Inc.

Apr 2019 - Sep 2022 (3 years 5 months)

Designed and delivered batch and streaming pipelines using Spark, PySpark, Kafka, Airflow, and Snowflake for high-volume transactional analytics, enabling near real-time ingestion and consistent KPIs across domains.

Spark Pyspark Kafka Airflow Snowflake AWS Glue EMR CI CD Docker

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

Big Data Engineer

ECI Software Solutions

Jan 2017 - Mar 2019 (2 years 2 months)

Built large-scale batch and streaming pipelines for retail and supply chain using Spark, Hadoop, Hive, and Kafka, improving reporting reliability and enabling near real-time operational visibility.

Spark Pyspark Hadoop Hive Kafka Partitioning Performance Tuning Scala

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.

Pyspark Databricks DBT Orchestration Data Modeling Data Quality Snowflake Monitoring

Data Engineer

Alteryx

Mar 2015 - Dec 2016 (1 year 9 months)

Built and maintained ETL pipelines and warehouse-ready transformations for SaaS analytics using Python, SQL, and APIs, improving dataset reliability and enabling executive reporting in Power BI and Tableau.