Ashraf Mohammed

Data Engineer with 5+ years of IT experience and 4+ years specializing in Azure Data Engineering. Experienced in designing scalable data pipelines and architectures using Azure Data Factory, Azure Databricks, PySpark, Azure Data Lake, Synapse, and Microsoft Fabric. Proven ability to optimize ETL/ELT pipelines, implement CI/CD using Azure DevOps, and deliver secure analytics solutions supporting Power BI dashboards.

Strong experience in Agile development, stakeholder collaboration, and mentoring junior engineers.

Data Engineer at Unique Force Technology Solutions

Data Engineer specializing in designing and optimizing scalable ETL/ELT pipelines, implementing CI/CD solutions, and delivering secure analytics infrastructure.

• Developed and optimized 15+ scalable ETL pipelines using Azure Data Factory and Databricks to ingest, clean, and transform large datasets for analytics and machine learning use cases.
• Designed scalable and reusable data architectures using Azure Data Lake, SQL, and Microsoft Fabric, enabling efficient data processing and analytics.
• Implemented PySpark-based transformations for large-scale batch processing, improving data quality and consistency while automating workflows and reducing processing time by 60%.
• Configured Azure DevOps CI/CD pipelines with Git-based version control to automate build and deployment of data engineering solutions (ADF, Databricks, and SQL), reducing manual intervention and deployment time by 40%.
• Implemented data models in Microsoft Fabric, supporting 10+ Power BI dashboards with semantic models and Row-Level Security (RLS), enabling faster and more secure reporting and reducing reporting preparation time by 50% for business teams.
• Collaborated with product owners, analysts, and QA teams in Agile sprints to deliver end-to-end data solutions, reducing production errors by 70% through improved validation and testing processes.
• Mentored junior engineers on Azure Data Factory, PySpark, and SQL best practices, improving code quality and team productivity.

Analyst at Sakura Auto Parts India (2018-09 – 2019-01)

Analyst responsible for production data analysis, quality checks, and KPI reporting.

• Conducted in-depth analysis of production data and performed quality checks to maintain product standards.
• Implemented data quality checks and key performance indicator (KPI) reporting, ensuring compliance.
• Performed data validation and quality checks to ensure compliance with operational standards.

Bachelor of Technology (B.Tech) in Mechanical Engineering – Jawaharlal Nehru Technological University (JNTU) (2018-05)