I am a seasoned Data Engineering leader with over a decade of experience architecting and optimizing large-scale, cloud-native data platforms across AWS, GCP, and Azure. My expertise spans advanced ETL/ELT design, distributed data processing with Spark and Databricks, and real-time streaming solutions powered by Kafka and related technologies. I have a strong background in data governance, security, and regulatory compliance, including GDPR, SOC 2, and HIPAA, with a proven ability to implement reliable and audit-ready data workflows. Throughout my career, I’ve led high-performing engineering teams, driven modernization initiatives, and delivered scalable, cost-efficient solutions that support analytics, AI, and mission-critical business operations. I excel at transforming complex requirements into robust data architectures that improve reliability, reduce technical debt, and accelerate time to insight across healthcare, SaaS, and fintech environments.

Muhammad Iqbal

I am a seasoned Data Engineering leader with over a decade of experience architecting and optimizing large-scale, cloud-native data platforms across AWS, GCP, and Azure. My expertise spans advanced ETL/ELT design, distributed data processing with Spark and Databricks, and real-time streaming solutions powered by Kafka and related technologies. I have a strong background in data governance, security, and regulatory compliance, including GDPR, SOC 2, and HIPAA, with a proven ability to implement reliable and audit-ready data workflows. Throughout my career, I’ve led high-performing engineering teams, driven modernization initiatives, and delivered scalable, cost-efficient solutions that support analytics, AI, and mission-critical business operations. I excel at transforming complex requirements into robust data architectures that improve reliability, reduce technical debt, and accelerate time to insight across healthcare, SaaS, and fintech environments.

Available to hire

I am a seasoned Data Engineering leader with over a decade of experience architecting and optimizing large-scale, cloud-native data platforms across AWS, GCP, and Azure. My expertise spans advanced ETL/ELT design, distributed data processing with Spark and Databricks, and real-time streaming solutions powered by Kafka and related technologies.

I have a strong background in data governance, security, and regulatory compliance, including GDPR, SOC 2, and HIPAA, with a proven ability to implement reliable and audit-ready data workflows. Throughout my career, I’ve led high-performing engineering teams, driven modernization initiatives, and delivered scalable, cost-efficient solutions that support analytics, AI, and mission-critical business operations. I excel at transforming complex requirements into robust data architectures that improve reliability, reduce technical debt, and accelerate time to insight across healthcare, SaaS, and fintech environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

Javanese
Advanced
Bashkir
Advanced

Work Experience

Lead Data Engineer at Validic
September 1, 2022 - Present
Designed and delivered scalable, compliant data platforms on AWS and Azure to support high volume patient analytics and clinical intelligence workloads. Engineered robust ETL/ELT pipelines using Spark, Airflow, and dbt, enabling near real time ingestion, transformation, and delivery of healthcare datasets. Automated multi environment infrastructure provisioning with Terraform and Ansible, improving consistency, reliability, and deployment speed. Built end to end observability using Prometheus, Grafana, ELK, and Datadog, enhancing system reliability and accelerating incident detection and resolution. Led GDPR and HIPAA aligned data governance, quality monitoring, and lineage tracking to ensure accuracy, transparency, and regulatory compliance.
Senior Data Engineer at Ascend.io
February 1, 2018 - June 1, 2022
Designed and implemented multi cloud data pipelines using Spark, Databricks, Airflow, and dbt. Architected modern data lakehouse solutions leveraging Snowflake, BigQuery, and Delta Lake. Automated infrastructure provisioning with Terraform and CI/CD, improving deployment efficiency. Established observability frameworks including SLOs, DAG SLAs, and data quality metrics. Developed machine learning and analytics models powering customer facing dashboards. Optimized ETL workflows for performance, scalability, and reliability across high volume workloads. Collaborated with cross functional teams to deliver actionable data insights and analytics solutions.
Data Engineer at XpertDox
November 1, 2014 - December 1, 2017
Designed and implemented ETL pipelines to integrate complex healthcare datasets into AWS. Migrated legacy systems to a cloud-first data warehouse, improving scalability and efficiency. Deployed containerized applications using Docker and Kubernetes for reliable, scalable operations. Built monitoring and observability dashboards with Prometheus and ELK to track system performance. Delivered HIPAA-compliant analytics pipelines, enabling secure data access for clinical teams. Ensured end-to-end data reliability, security, and regulatory compliance across healthcare workflows.

Education

Add your educational history here.

Qualifications

Bachelor of Computer Science
January 11, 2030 - January 19, 2026
Enterprise Observability Framework, Prometheus, Grafana, Datadog, ELK
January 11, 2030 - January 19, 2026
AWS Certified Data Analytics
January 11, 2030 - January 19, 2026
Databricks Lakehouse Platform Essentials
January 11, 2030 - January 19, 2026
Cloud Professional Data Engineer
January 11, 2030 - January 19, 2026
Azure Data Engineer Associate
January 11, 2030 - January 19, 2026
Certified Health Data Analyst
January 11, 2030 - January 19, 2026
Terraform Associate
January 11, 2030 - January 19, 2026
Bachelor of Computer Science
January 11, 2030 - January 19, 2026
Enterprise Observability Framework
January 11, 2030 - January 19, 2026
Prometheus
January 11, 2030 - January 19, 2026
Grafana
January 11, 2030 - January 19, 2026
Datadog
January 11, 2030 - January 19, 2026
ELK
January 11, 2030 - January 19, 2026
AWS Certified Data Analytics
January 11, 2030 - January 19, 2026
Databricks Lakehouse Platform Essentials
January 11, 2030 - January 19, 2026
Cloud Professional Data Engineer
January 11, 2030 - January 19, 2026
Azure Data Engineer Associate
January 11, 2030 - January 19, 2026
Certified Health Data Analyst
January 11, 2030 - January 19, 2026
Terraform Associate
January 11, 2030 - January 19, 2026

Industry Experience

Healthcare, Financial Services, Software & Internet, Professional Services, Other