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Safdar Iqbal

@safdariqbal3

Message

Senior Data Engineer delivering scalable, compliant cloud data platforms and reliable ETL pipelines.

United States

Message

What I'm looking for

I am seeking a role building and operating cloud-native data platforms where I can drive reliable ETL/ELT pipelines, data governance, scalability, and cross-functional impact.

I am a Senior Data Engineer with 8+ years of experience building cloud-first data platforms across healthcare, fintech, and retail domains. I specialize in designing and operating ETL/ELT pipelines, data warehouses, and streaming solutions to enable reliable analytics and AI-driven use cases.

I have hands-on experience migrating on-premises systems to AWS and Azure, implementing governance and access controls for sensitive healthcare and financial data, and improving observability to reduce downtime and recurring production issues.

At Endex I built high-throughput pipelines processing 100K+ unstructured financial documents per month, implemented vector search and semantic retrieval, and achieved 99.9%+ data accuracy through validation and monitoring. I also helped scale platforms to support a 5× increase in users while optimizing cloud costs.

I bring practical experience with Snowflake, Azure SQL, Python, Docker, Kubernetes, CI/CD, and data observability practices, and I enjoy partnering with product and business teams to deliver cost-aware, production-ready data solutions that support analytics and ML initiatives.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Vision X

Jun 2023 - Present (2 years 8 months)

Engineered cloud-first data platforms on AWS and Azure for healthcare SaaS, improving stability and security during migrations and reducing downtime through enhanced monitoring and governance.

AWS Azure Data Warehousing SQL Data Governance Monitoring

Data Engineer

Endex

Sep 2019 - May 2023 (3 years 8 months)

Designed a cloud-native data platform for financial analytics and AI, processing 100K+ unstructured documents/month and achieving 99.9%+ data accuracy via validation and governance controls.

Azure Snowflake PDF Parsing Vector Search Data Quality Kubernetes CI CD

DataOps Engineer

Monte Carlo

Mar 2017 - Aug 2019 (2 years 5 months)

Implemented data observability and automation practices to detect data quality and freshness issues early, improved runbooks and alerting, and reduced operational incidents for production pipelines.