Ali Bangash
Senior Data Architect & Data Engineer
Building cloud-native data platforms and lakehouse architectures that power enterprise-scale analytics and AI/ML workloads.
About
I am a Senior Data Architect and Data Engineer with extensive experience designing and implementing enterprise-grade data platforms. My work spans the full data lifecycle—from ingestion and transformation to analytics and AI/ML enablement.
I specialize in modernizing legacy data infrastructures, building scalable cloud-native architectures, and enabling real-time and batch processing systems that handle petabyte-scale workloads.
My approach combines deep technical expertise with strategic thinking, ensuring that data platforms not only meet current needs but are positioned for future growth and innovation.
Core Expertise
Data Architecture
Big Data & Streaming
Cloud Platforms
Data Warehousing
MLOps & AI Enablement
Governance & Leadership
Experience Highlights
Enterprise Lakehouse Platforms
Designed and implemented modern lakehouse architectures serving 500+ data consumers with petabyte-scale storage and sub-second query performance.
Cloud Data Warehouse Migrations
Led end-to-end migrations from legacy on-premise systems to cloud-native platforms, achieving 60% cost reduction and 10x performance improvement.
Real-Time Streaming Systems
Built event-driven architectures processing millions of events per second with 99.99% uptime and sub-second latency for critical business applications.
AI/ML Data Infrastructure
Established feature stores and MLOps pipelines enabling data science teams to reduce model deployment time from weeks to hours.
Data Governance Frameworks
Implemented enterprise-wide data governance programs ensuring regulatory compliance across multiple jurisdictions and data domains.
Technical Leadership
Led and mentored cross-functional teams of 15+ engineers, establishing best practices and architectural standards across the organization.
Selected Architecture Case Studies
Real-Time Streaming Analytics Platform
Event-driven architecture processing 10M+ events/second with Kafka, Spark Streaming, and Delta Lake for real-time analytics and alerting.
- Sub-second latency
- 99.99% uptime
- Auto-scaling infrastructure
Cloud Data Warehouse Modernization
Large-scale migration from on-premise data warehouse to Snowflake with automated data quality checks and lineage tracking.
- 60% cost reduction
- 10x query performance
- Zero downtime migration
Feature Store & RAG-Enabled AI Pipeline
Enterprise feature store integrated with vector databases and RAG pipelines for production ML models and generative AI applications.
- ML deployment: weeks to hours
- Centralized feature governance
- Real-time feature serving
Certifications
Databricks Certified Data Engineer Professional
Databricks
AWS Certified Solutions Architect - Professional
Amazon Web Services
Google Cloud Professional Data Engineer
Google Cloud
Certified Kubernetes Administrator (CKA)
CNCF
Snowflake SnowPro Core Certification
Snowflake
Azure Data Engineer Associate
Microsoft
Contact
Interested in discussing data architecture, engineering challenges, or potential opportunities? I'd love to connect.