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MOHD ZAHIDMZ
Looking for a job

MOHD ZAHID

@mohdzahid

I build reliable enterprise data pipelines and analytics infrastructure at scale.

India
Message

What I'm looking for

I'm looking to build and operate reliable, scalable data systems where I can own delivery end to end, solve ambiguous data challenges, and improve analytics infrastructure through strong architecture, automation, and data quality practices.

At Polestar Analytics, I architect and operate enterprise ELT pipelines across Financial, HR, and Accounts Receivable data, processing 40–50 million records in production.

I improved pipeline execution by 33% through SQL optimization and parallel execution, while building data quality frameworks that keep transformation layers consistent and reliable. I work directly from business needs to production systems without requiring formal specifications.

I also migrated an enterprise codebase from Qlik to Microsoft Fabric using PySpark and SparkSQL, implementing a Lakehouse medallion architecture with zero data loss and 100% validation accuracy.

Experience

Work history, roles, and key accomplishments

PA
Current

EXL BAU Delivery

Polestar Analytics

Dec 2024 - Present (1 year 9 months)

Leading business-as-usual data delivery pipeline managing end-to-end data flow from source systems to analytics layers. Operate production environment processing 40-50M financial records with 99.9% uptime SLA.

Education

Degrees, certifications, and relevant coursework

Guru Gobind Singh Indraprastha University logoGU

Guru Gobind Singh Indraprastha University

Bachelor of Technology, Computer Science

Bachelor of Technology in Computer Science from Guru Gobind Singh Indraprastha University, New Delhi, completed in June 2024.

DE

Delhi Institute of Tool Engineering

Diploma, Tool Engineering

Diploma in Tool Engineering from Delhi Institute of Tool Engineering, New Delhi, completed in July 2021.

Databricks logoDA

Databricks

Databricks Certified Associate Data Engineer, Data Engineering

Certified as an Associate Data Engineer by Databricks.

Tech stack

Software and tools used professionally

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