Hamza A.

Komodo Health is committed to improving patient care and reducing disease burden with its comprehensive Healthcare Map™, delivering data-driven insights across therapeutic areas.

• Architected Komodo's Healthcare Map, enhancing products like MapLab, MapAI, and Sentinel to track patient journeys, identify care gaps, and improve disease management.
• Optimized data workflows and implemented incremental refreshes, resulting in faster and more cost-effective data processing using technologies such as AWS, Snowflake, and Kubernetes.
• Led R&D initiatives to explore and advise on adopting modern data stack technologies, future-proofing Komodo's data architecture.
• Collaborated with product teams to refine technical solutions, supporting Komodo's mission to reduce the global disease burden.

Ahmad Labs is a design-led innovation hub that powers the creation of new businesses for Ahmad Holdings, LLC.

A media measurement software company offering powerful audience segmentation for programmatic ads in a more valuable data-driven ecosystem.

• Led a comprehensive re-architecture of all digital data pipelines, increasing consistency and reducing costs by 90% while handling a 100% increase in data volume.
• Redesigned digital metadata architecture to introduce attribute history tracking and improve downstream reporting performance, utilizing Snowflake and Postgres.
• Implemented an ELT model that reduced storage and processing costs by 20% and allowed for seamless data re-processing without reloading large volumes.
• Enhanced data health and monitoring systems, achieving a 50% reduction in data discrepancy exposure through proactive alerting and granular reporting.

• Led and managed engineers across 4 cross-functional teams, including data, backend, frontend, and support engineers, aligning strategic roadmaps with business objectives.
• Oversaw software solutions in Digital Data Processing, Audiences, Targeting, and Data & Customer Operations, enhancing the product suite.
• Developed self-service Retool applications improving client operational efficiency, reducing support ticket volume by 20%, and improving turnaround time by 30%.
• Established data onboarding, data processing, and security standards, significantly enhancing organizational efficiency and security.

Horizon Media is a leader in driving business-based outcomes for marketers, recognized for its culture and innovation in the advertising industry.

• Built Horizon’s enterprise data platform and proprietary identity framework on a multi-cloud infrastructure, enhancing scalability, automation, security, and data privacy.

• Rebuilt data and advanced analytics infrastructure for scalability, automation, and security, significantly enhancing the company's data processing capabilities.
• Developed a custom Python framework for ETL processes, simplifying data acquisition and ingestion into custom cloud data lakes and warehouses, showcasing technical innovation and automation excellence.
• Deployed Kubernetes clusters with Rancher, and Apache Airflow on Kubernetes for automated application deployment and scalable workflow orchestration, improving uptime and reducing costs.
• Led security audits resulting in SOC2, HIPAA, and HITRUST certifications, reinforcing Horizon Media's commitment to data security and regulatory compliance.

Chegg Inc. (Formerly: InstaEDU) is a leading student-first connected learning platform, offering various educational services including tutoring, study tools, and more to make higher education more affordable, accessible, and effective.

• Provided individualized online tutoring in subjects including mathematics, physics, Excel, process engineering, and programming, tailoring strategies and materials to student needs.
• Monitored and evaluated student progress through various methods, documenting and communicating development for effective learning outcomes.

The University of Medicine & Dentistry of New Jersey (UMDNJ) specializes in medical and dental education, research, and healthcare services.

• Applied statistical analysis techniques using SQL, Excel, and VBA to interpret big data from clinical studies on alcohol addiction.
• Personalized statistical analysis techniques using MS Excel and SAS simplified big data sets from experimental procedures to find trends for projecting.

Hackensack Meridian Health is a leading healthcare network providing high-quality patient care and innovative medical research.

• Collaborated to collect patient care data and produce technical reports, contributing to research across three US research hospitals.
• Documented weekly technical reports on critical health issues, including tobacco cessation and sepsis, as part of a team of 24 researchers.