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Muhammad Mustafa UserMU
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Muhammad Mustafa User

@muhammadmustafauser

Senior Data Engineer specializing in scalable pipelines, cloud, and analytics.

United States
Message

What I'm looking for

I seek a role building scalable cloud data platforms and ETL solutions where I can lead engineering best practices, mentor teams, and deliver reliable analytics-ready data.

I am a Senior Data Engineer with nine years of experience designing and delivering scalable data pipelines, cloud platforms, and modern data warehouses. I focus on transforming complex datasets into analytics-ready, high-quality data that enables actionable business insights.

I build both batch and real-time workflows using Python, SQL, and Apache Spark, and I have implemented ETL/ELT solutions on AWS, Snowflake, Redshift, and Databricks that improved performance and reliability. My work has included reducing processing times, improving data freshness, and migrating legacy pipelines to cloud-native architectures.

I have led efforts to standardize processes, mentor junior engineers, and introduce reusable modules, orchestration (Airflow), logging, and alerting to reduce downtime and improve maintainability. I collaborate closely with analysts, product teams, and DevOps to ensure pipelines meet reporting and operational requirements.

I bring hands-on expertise in data modeling, warehouse design (star schemas), validation and quality frameworks, and CI/CD and monitoring practices. I am committed to delivering robust, efficient data platforms that scale with business needs.

Experience

Work history, roles, and key accomplishments

II
Current

Senior Data Platform Engineer

ILSA Interactive

Mar 2022 - Present (4 years 3 months)

Designed and maintained scalable ETL pipelines and Spark workflows, reducing processing times by 34% and improving data reliability; migrated workflows to AWS (S3, Glue, Redshift) and implemented Airflow orchestration to reduce downtime.

CO

Data Integration Engineer

Colabs

Jul 2020 - Feb 2022 (1 year 7 months)

Developed and optimized ETL pipelines with Python, SQL, and Spark, migrating legacy ETL to Spark to improve scalability and reduce processing times by 27%; automated ingestion and built validation frameworks for data quality.

Education

Degrees, certifications, and relevant coursework

UN

Unknown

Bachelor of Science, Computer Science

Bachelor of Science in Computer Science; prepared foundational knowledge in programming, algorithms, and systems relevant to data engineering roles.

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