Waseema Begum
Senior Data Engineer | Healthcare Data Specialist | Azure, AWS, Spark, Databricks | ETL & Streaming | Team Lead | Scalable Data Solutions Advocate
- Role
- Senior Data Engineer at CVS Health
- Location
- New Haven, CT, US
- LinkedIn followers
- 500 followers
About Waseema Begum
As a Senior Data Engineer with 8+ years of hands-on experience, I specialize in designing and optimizing scalable data solutions that power critical healthcare analytics and decision-making. My passion lies in transforming complex, high-volume data into actionable insights, driving improved outcomes for millions of patients and providers.I have deep expertise across the healthcare, clinical, and financial domains, with a proven track record building robust data pipelines (10TB+/day), real-time streaming architectures, and cloud-native platforms (Azure, AWS, GCP). My toolkit includes Python, SQL, Spark, Databricks, Kafka, Airflow, and advanced DevOps practices (Docker, Kubernetes, Terraform).Beyond technical delivery, I thrive in collaborative, cross-functional environments—leading and mentoring teams, standardizing best practices, and ensuring data quality, governance, and compliance (HIPAA, GDPR). I’m passionate about leveraging data to solve real-world problems and accelerate data-driven transformation.Let’s connect if you’re seeking a results-oriented data leader who can architect, scale, and optimize data platforms for the future of healthcare.
Experience
Senior Data Engineer
Jan 2024 — Present · CT, US
Engineered large-scale data pipelines (10TB+/day) consolidating pharmacy and claims data into Azure Data Lake, powering analytics for 90M+ members.Orchestrated high-performance ETL workflows with Databricks and Azure Data Factory, reducing processing time from 12 hours to under 1 hour.Designed and optimized data models in Delta Lake and Azure Synapse, improving reporting and query efficiency by 30%.Implemented real-time data streaming using Kafka and Azure Event Hubs, enabling faster insights and monitoring.Automated CI/CD deployments through Azure DevOps and GitHub Actions, enhancing reliability and delivery speed.Led and mentored a team of 4 data engineers, standardizing best practices for scalable, high-quality data solutions.
Education
University of New Haven
Master's degree, Data Science
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