Arshad Ali
Principal Product Manager Microsoft Fabric
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolArshad Ali is a Principal Product Manager at Microsoft leading Spark Runtime for Microsoft Fabric, with eight years in product and program roles focused on enabling data engineering and data science at scale. He blends deep technical expertise in SQL, MPP engines and Apache Spark with customer-facing experience in migration, modernization and digital transformation for strategic enterprises. Arshad has a track record of turning complex data platforms into actionable business outcomes—authoring migration patterns, best practices and over 200 technical articles, and co-authoring books on Fabric and HDInsight. Based in Redmond, he pairs an MBA in Technology Management with hands-on database engineering contributions (notably automating migration assessments for DB2 z/OS in microsoft/DataMigrationTeam). Known for bridging product, engineering and customer success, he focuses on practical AI-infused analytics that shift competitive advantage when applied at the right time.
8 years of coding experience
15 years of employment as a software developer
Master of Business Administration - MBA Technology Management, Master of Business Administration - MBA Technology Management at UW Foster School of BusinessThe Indira Gandhi National Open University (IGNOU)
English, Hindi, Urdu
Github Skills (13)
data-migration10
schema-design10
schema10
sql10
database-design10
db-schema10
database-schema10
stored-procedures9
sql-server9
data-set8
data-model8
user-data8
migration8
Programming languages (2)
Github contributions (5)
microsoft/DataMigrationTeam
Jun 2017 - Jan 2019
Repository for the Data Migration Team
Role in this project:
Database Engineer / Database Administrator
Database Engineer / Database AdministratorContributions:34 commits, 11 PRs, 101 pushes in 1 year 6 months
Contributions summary:Arshad's primary contributions revolve around creating and modifying SQL scripts and stored procedures related to data migration and assessment. Their work includes the development of procedures to create statistics for SQL DW, and the creation of SQL scripts to assess databases for migration readiness, particularly for DB2 zOS systems. The user consistently demonstrates expertise in SQL, database schema analysis, and the generation of database objects. Their efforts focused on automating and streamlining database assessment tasks.
data-migrationmigrationdata
ms-arali/dmj
Nov 2018 - Dec 2018
Contributions:23 pushes, 1 branch, 2 tags in 15 days
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