Muhammad Mustafa User
@muhammadmustafauser
Senior Data Engineer specializing in scalable pipelines, cloud, and analytics.
What I'm looking for
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
Senior Data Platform Engineer
ILSA Interactive
Mar 2022 - Present (4 years)
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.
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.
Analytical Data Systems Engineer
Fourspan Technologies
Jan 2018 - Jun 2020 (2 years 5 months)
Built and maintained ETL pipelines and analytical data models, implementing monitoring and error handling to improve reliability and optimizing transformations to reduce batch times by 23%.
Education
Degrees, certifications, and relevant coursework
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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