Muhammad Imran

I am a motivated and detail-oriented Data Engineer with over 1 year of hands-on experience in AWS cloud services, ETL pipeline development, and data analytics. I have a proven track record of building scalable data ingestion workflows, developing serverless analytics solutions, and managing analytical databases such as Snowflake and PostgreSQL. My expertise lies in transforming complex raw data into BI-ready warehouse models and analytical reports using Python, SQL, and cloud technologies while focusing on scalability, performance optimization, reliability, and cost-efficient data architecture.

Data Engineer - Emberon Ltd - Manchester, United Kingdom

(2026-01 - 2026-05)

Emberon is a consultancy specializing in digital transformation, Artificial intelligence, Automation, and Data management. It supports organizations in enhancing operational efficiency and leveraging advanced technology solutions.

• Assisted in designing and maintaining data pipelines and ETL workflows for a large-scale construction project, ensuring accurate and timely data ingestion from multiple sources.
• Extracted, transformed, and loaded construction project data into PostgreSQL and cloud-based data warehouses for analytics purposes.
• Integrated APIs and various internal data sources to create consolidated datasets for downstream reporting and business intelligence use cases.
• Optimized SQL queries and data transformations to improve performance and reduce dependency on external reporting tools.
• Implemented incremental and snapshot-style data models to support historical trend analysis and project tracking.
• Automated data workflows, monitoring, and alerting using Python scripts and cloud infrastructure tools.
• Ensured data quality, security, and scalability across multiple storage and analytics platforms, including AWS services.

Associate Data Engineer - Axiom World - Lahore, Pakistan

(2025-06 - 2026-01)

A company specializing in data analytics and solutions

• Assisted senior data engineers in designing and maintaining AWS-based data workflows for analytics and reporting
• Developed and debugged AWS Lambda functions to extract, transform, and deliver data from multiple source systems
• Integrated Snowflake and PostgreSQL with API-based delivery layers to support frontend and downstream analytics use cases
• Converted BI-style queries into optimized raw SQL to improve performance and reduce dependency on dashboard tools
• Implemented incremental loading and snapshot-style data models to enable historical trend analysis
• Automated deployment and infrastructure tasks using Terraform and Boto3
• Utilized AWS S3, CloudWatch, Secrets Manager, and Cognito for secure, scalable, and observable data solutions

BS - Computer Science - University of the Punjab (2022 - 2026)