Syed Hassan Raza
@syedhassanraza1
Lead Data Engineer building Databricks lakehouse platforms and AI-ready streaming analytics.
What I'm looking for
I architect and build enterprise-scale cloud-native data platforms with Databricks, Apache Spark, and Airflow—so analytics, machine learning, and Generative AI workloads have reliable data foundations.
At Astronomer Remote, I’ve designed Lakehouse architectures with Delta Lake, Unity Catalog, and Medallion modeling, then automated ingestion and transformations using Databricks Workflows and Delta Live Tables. I also build multi-terabyte batch/ELT pipelines and near real-time streaming solutions with Kafka, Spark Structured Streaming, and AWS Kinesis.
I’ve spent earlier years creating scalable ETL/ELT on Hadoop and Spark stacks at Qubole, and developing production ETL workflows at Tresata. Across roles, I focus on data governance, lineage/metadata management, and performance optimization for trusted enterprise datasets.
Experience
Work history, roles, and key accomplishments
Architected enterprise-scale cloud-native data platforms using Databricks, Apache Spark, Airflow, and AWS services. Designed and implemented Lakehouse architectures with Delta Lake, Unity Catalog, and Medallion data modeling.
Developed enterprise-grade ETL and ELT pipelines using Databricks, PySpark, SQL, and Spark. Built scalable data ingestion frameworks integrating APIs, SaaS platforms, databases, and cloud systems.
Education
Degrees, certifications, and relevant coursework
University of New South Wales
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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