HimalayasHimalayas logo
Muhammad Mustafa UserMU
Open to opportunities

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)

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.

Find your dream job

Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan