Bazzam B
@bazzamb
Lead Data Engineer building cloud-native, real-time data platforms and governed pipelines to power analytics at scale.
United StatesWhat I'm looking for
I’m a Senior Data Engineer with 12+ years of experience building scalable data platforms, cloud-native pipelines, and processing systems. I focus on data architecture, ingestion/transformation design, orchestration, and automated change capture to deliver reliable, production-grade infrastructure for analytics and data ecosystems.
In my current role as Lead Data Engineer, I’ve led the design and delivery of scalable real-time data platforms on AWS and GCP using Kafka, Flink, and Spark. I build governed enterprise data mesh architectures with observability, data quality, and schema management standards, and I implement lakehouse patterns with Delta Lake, Iceberg, and Hudi for scalable analytics across cloud environments.
I also strengthen reliability through CI/CD-enabled dbt pipelines and robust monitoring, alerting, and data quality frameworks. Earlier, I delivered multi-cloud ETL using Python, AWS Glue, Dataflow, and BigQuery, implemented governance with Unity Catalog and AWS Lake Formation, and improved performance and cost efficiency using tools like Terraform, AWS CDK, and query optimization.
Experience
Work history, roles, and key accomplishments
Led design and delivery of scalable real-time data platforms on AWS and GCP, using Kafka, Flink, and Spark. Built governed data architecture with observability and data quality standards, and implemented lakehouse architectures and automated CI/CD for data transformations.
Designed and implemented multi-cloud data pipelines across AWS and GCP for large-scale data processing. Automated end-to-end ETL workflows and implemented data governance, security, and data quality frameworks.
Designed and scaled ETL pipelines using Python, SQL, and Airflow to ingest transactional and event-driven data into PostgreSQL and data warehouses. Migrated and optimized cloud data workflows and built BI dashboards to monitor key business KPIs.
Implemented ETL workflows using Python and SQL to integrate datasets into PostgreSQL and maintained daily data pipelines using cron and Airflow. Built secure ingestion pipelines from APIs and FTPS sources and improved performance with query optimization and indexing.
Education
Degrees, certifications, and relevant coursework
Stockton University
Bachelor of Science, Computer Science
Earned a B.S. in Computer Science from Stockton University.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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