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I'm Muhammad Ali, a Lead Data Engineer and Cloud Data Architect with 10+ years of experience building enterprise-scale data ecosystems. I specialize in cloud-native architectures, lakehouse and data mesh platforms, real-time streaming, and AI/ML integration to power mission-critical business operations. I mentor and lead cross-functional teams, driving digital transformation across multi-cloud environments (AWS, Azure, GCP), implementing governance and self-service analytics, and exploring LLM-driven insights with vector databases to accelerate innovation.…I'm Muhammad Ali, a Lead Data Engineer and Cloud Data Architect with 10+ years of experience building enterprise-scale data ecosystems. I specialize in cloud-native architectures, lakehouse and data mesh platforms, real-time streaming, and AI/ML integration to power mission-critical business operations. I mentor and lead cross-functional teams, driving digital transformation across multi-cloud environments (AWS, Azure, GCP), implementing governance and self-service analytics, and exploring LLM-driven insights with vector databases to accelerate innovation.

Muhammad Ali

Data Scientist, Data Analyst, Cloud Developer, +2

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I'm Muhammad Ali, a Lead Data Engineer and Cloud Data Architect with 10+ years of experience building enterprise-scale data ecosystems. I specialize in cloud-native architectures, lakehouse and data mesh platforms, real-time streaming, and AI/ML integration to power mission-critical business operations. I mentor and lead cross-functional teams, driving digital transformation across multi-cloud environments (AWS, Azure, GCP), implementing governance and self-service analytics, and exploring LLM-driven insights with vector databases to accelerate innovation.…I'm Muhammad Ali, a Lead Data Engineer and Cloud Data Architect with 10+ years of experience building enterprise-scale data ecosystems. I specialize in cloud-native architectures, lakehouse and data mesh platforms, real-time streaming, and AI/ML integration to power mission-critical business operations. I mentor and lead cross-functional teams, driving digital transformation across multi-cloud environments (AWS, Azure, GCP), implementing governance and self-service analytics, and exploring LLM-driven insights with vector databases to accelerate innovation.

Available to hire

I’m Muhammad Ali, a Lead Data Engineer and Cloud Data Architect with 10+ years of experience building enterprise-scale data ecosystems. I specialize in cloud-native architectures, lakehouse and data mesh platforms, real-time streaming, and AI/ML integration to power mission-critical business operations.

I mentor and lead cross-functional teams, driving digital transformation across multi-cloud environments (AWS, Azure, GCP), implementing governance and self-service analytics, and exploring LLM-driven insights with vector databases to accelerate innovation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Lead Data Engineer at FinEdge Capital

June 1, 2021 - November 11, 2025

Led design of next-generation enterprise data platforms using Lakehouse and Data Mesh frameworks (Databricks, Apache Iceberg, Delta Lake) to enable scalable AI/ML analytics across trading, risk, and financial operations. Engineered ultra-low-latency streaming pipelines with Apache Flink, Kafka, and AWS Kinesis, reducing real-time data processing time by 65% and accelerating decision-making for traders and risk teams. Modernized legacy ETL by migrating workloads to serverless AWS Lambda and containerized Kubernetes pipelines, improving reliability and reducing compute costs. Drove governance and metadata strategies with Collibra/Alation integration, ensuring data lineage, access control, and regulatory compliance across financial data assets. Optimized Lakehouse infrastructure for ML/AI workloads, tuned compute, caching, and storage formats to accelerate model training and experimentation. Mentored 10+ engineers and built observability with Prometheus + Grafana; championed self-service

Senior Data Engineer at ProCogia

May 1, 2021 - May 1, 2021

Architected and deployed enterprise-grade data warehouses on Snowflake, Redshift, and BigQuery; optimized data models and storage to deliver ~50% faster queries and scalable analytics. Built real-time streaming analytics with Kafka + Spark Streaming, reducing latency by ~60%. Automated ETL workflows using Airflow, dbt, Talend, and Informatica, cutting manual maintenance by ~30% and improving reliability. Led cloud migrations to AWS (S3, Redshift, Lambda) and GCP (BigQuery, Pub/Sub), achieving ~35% cost savings and greater agility. Established data governance and catalog frameworks with data lineage, PII masking, and metadata management to boost compliance and data discovery. Collaborated with data scientists to support AI/ML workloads.

Data Engineer at Eastwall

May 1, 2017 - May 1, 2017

Engineered scalable ETL pipelines using NiFi, Talend, and SSIS across finance, CRM, and operations, improving data availability and processing efficiency. Optimized PostgreSQL & MySQL performance through indexing, query optimization, and partitioning, reducing analytics load times by ~50%. Built BI dashboards in Tableau and Power BI delivering real-time KPIs. Implemented predictive analytics and data validation workflows increasing forecasting accuracy and reducing discrepancies. Strengthened data security and governance with RBAC, encryption, GDPR/SOC 2 alignment. Supported AWS cloud migration, moving on-prem processes to Redshift/S3-based pipelines.