Open to opportunities

Hammad Ahmed

@hammadahmed3

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Lead Data Engineer and Cloud Architect specializing in scalable big data and real-time processing.

United States

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What I'm looking for

I seek a leadership role to architect scalable, secure big-data platforms, lead data engineering teams, and drive real-time analytics and cloud-first strategies in regulated industries.

I am a lead data engineer with 10+ years of experience building scalable data platforms for financial and healthcare organizations. I combine deep expertise in Hadoop, Spark, Flink, Python, Scala and Java with cloud proficiency across AWS, Azure and Google Cloud.

I have designed and implemented real-time data processing using Kafka and Apache Flink, built fraud-detection and readmission-risk systems, and modernized data warehouses with Redshift and serverless architectures. I prioritize data governance, encryption, and compliance (GDPR/CCPA) while improving performance and reducing costs.

I lead cross-functional teams to deliver reliable ETL pipelines, metadata management, and MDM solutions, and I am seeking opportunities to drive dynamic data strategies, architecture, and operational excellence in regulated environments.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Mavericks United

Nov 2022 - Present (2 years 9 months)

Led upgrades to data infrastructure to process millions of user events daily, building a real-time platform with Kafka and Apache Flink that improved transaction processing and fraud detection. Implemented data governance (GDPR/CCPA), scalability improvements, and performance tuning across Hadoop and Spark ecosystems.

Apache Kafka Apache Flink Hadoop Spark Python Scala AWS Data Governance

Data Operations Engineer

Drive Tech LLC

Jan 2019 - Oct 2022 (3 years 9 months)

Enhanced healthcare data management by consolidating multiple sources into a unified repository and building ETL pipelines and serverless architectures on AWS and Google Cloud to improve data quality and reduce manual effort. Upgraded data warehousing with AWS Redshift and automated CI/CD to increase analytics reliability and disaster recovery.

AWS Google Cloud Python Scala SQL ETL AWS Lambda Redshift CI CD

Associate Data Engineer

Bladefin Technologies

May 2015 - Dec 2018 (3 years 7 months)

Built distributed Hadoop and Spark systems and optimized data models and ETL pipelines to accelerate analysis of high-volume transactional data, improving processing speed and financial reporting accuracy. Automated infrastructure deployment with CloudFormation and tuned performance to handle large call-detail record volumes.