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Adeel H

@adeelh

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Data Engineer passionate about building efficient data pipelines.

United Kingdom

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What I'm looking for

I'm looking for a role that fosters innovation and collaboration, where I can leverage my skills in data engineering and cloud technologies while contributing to impactful projects.

I'm a dedicated Data Engineer with a strong foundation in developing and maintaining ETL pipelines. Currently, I work at Wood Mackenzie, where I've successfully architected high-volume data processing solutions, significantly enhancing performance and data accessibility for multiple teams. My experience includes leveraging AWS services and implementing serverless architectures to streamline workflows.

During my time as a Summer Intern, I refactored a Python DASH app, achieving a remarkable 500% performance improvement. I also contributed to creating reusable AWS CDK constructs, which standardized cloud deployments across the organization. My academic background in Computer Science from the University of Edinburgh, where I graduated with First-Class Honours, has equipped me with a solid understanding of advanced databases and security engineering.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer I

Current

Wood Mackenzie

Jul 2023 - Present (1 year 11 months)

Developed and maintained ETL pipelines using Pandas and SQL, orchestrated in AWS Step Functions with Docker-based Lambdas for serverless automated workflows. Contributed to engineering high-volume pipelines processing billions of hourly records, overcoming significant performance challenges to produce the largest dataset in the company. Architected a Glue-based pipeline to replace a legacy data lo

Pandas SQL AWS Step Functions CDK Docker Lambda Glue OpenSearch ETL Data Engineering

Summer Intern (Software Development)

Wood Mackenzie

Jun 2022 - Aug 2022 (2 months)

Refactored a Python DASH app originally developed by non-engineers, improving code quality and maintainability. Moved features to the client-side in JavaScript and optimised how data was loaded, resulting in a 500% performance uplift. Developed and tested reusable AWS CDK constructs in Python as part of a shared infrastructure library to standardise and streamline cloud deployments.

Python Dash JavaScript AWS CDK Performance Optimization Infrastructure as Code

Education

Degrees, certifications, and relevant coursework

University of Edinburgh

Bachelor of Science with Honours, Computer Science

Grade: First-Class with Honours (4.0 GPA equivalent)

Studied Computer Science with a focus on advanced topics including Computer Security, Security Engineering, and Communications and Networks. Gained expertise in Advanced Databases, Blockchains, and Distributed Ledgers.