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Iman Hassen

@imanhassen

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Senior Data Engineer specializing in cloud migrations, real-time pipelines, and scalable ETL solutions.

United States

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What I'm looking for

I’m seeking senior data engineering roles focused on cloud migrations, scalable ETL/streaming, and building reliable data platforms with strong collaboration and impact.

I am a seasoned Data Engineer with over a decade of experience building resilient batch and real-time data pipelines across AWS, Azure, and GCP. I specialize in migrating petabytes of data, tuning ETL workflows, and designing streaming architectures that meet production SLAs.

At NVIDIA I led end-to-end migrations from Azure to AWS with zero critical downtime and built scalable ETL workflows using SAP BODS to integrate SAP ECC and SAP BW. I have hands-on experience with Kafka, Flink, Spark Streaming, and orchestration via Apache Airflow.

Previously at Morgan Stanley, Netflix, Walmart Global Tech, and Pfizer, I transformed large-scale JSON datasets with Spark SQL, implemented analytical schemas, automated ingestion with shell scripting, and developed Spark and Scala applications for batch and streaming processing. I consistently improve pipeline throughput and ETL performance through optimization and modularization.

I bring a practical, stakeholder-focused approach to data engineering—translating business chaos into reliable dashboards and actionable insights with Power BI and Tableau—while maintaining calm under pressure and a sense of humor about data.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

NVIDIA

Jan 2023 - Present (2 years 8 months)

Led end-to-end migration of large-scale data pipelines from Azure to AWS with zero critical downtime and built scalable ETL workflows integrating SAP ECC/BW and third-party sources. Designed real-time streaming architectures with Kafka, Flink, and Spark Streaming while improving scheduling reliability via Airflow.

Pyspark Kafka Flink Apache Airflow AWS Azure ETL

Data Analyst

Morgan Stanley Capital Partners

Feb 2021 - Dec 2022 (1 year 10 months)

Transformed large-scale JSON data with Spark SQL into Hive/HDFS, automated ingestion workflows and scheduled Spark jobs, and optimized Informatica mappings to improve ETL performance. Implemented star and snowflake schemas for analytical modeling.

Hive HDFS Informatica Shell Scripting ETL Data Modeling Star Schemas

Data Engineer

Netflix

Feb 2020 - Dec 2020 (10 months)

Built ETL pipelines on GCP using Airflow and PySpark, enabled real-time analytics with Pub/Sub, and executed cross-cloud migrations from GCP to Azure using Azure Data Factory. Developed compute-heavy pipelines on AKS.

Airflow Pyspark GCP)Pub Sub Azure Data Factory AKS ETL Cloud Migration

Data Engineer

Walmart Global Tech

Apr 2016 - Jul 2019 (3 years 3 months)

Developed scalable Spark applications in Scala for batch and streaming integration, implemented PL/SQL customer reports, and utilized Hadoop and AWS for large-scale data processing and pipeline optimization.

Scala Spark Hadoop AWS Pl SQL Batch Processing Streaming

Data Engineer Intern

Pfizer

Aug 2015 - Mar 2016 (7 months)

Built PySpark pipelines to transform semi-structured JSON into Hive tables, automated Spark job execution with shell scripts, and refactored SQL/PLSQL logic into modular Informatica workflows.

Pyspark Hive Shell Scripting Informatica SQL ETL

Education

Degrees, certifications, and relevant coursework

University of Washington Tacoma

Bachelor of Science, Information Technology

2013 - 2015

Completed a Bachelor of Science in Information Technology at University of Washington Tacoma from 2013 to 2015 focusing on information systems and applied technology.