Description

A highly motivated and analytical professional, a Northcoders graduate and soon to complete an MSc in Computing, with specialised training in Data Engineering. Proficient in designing, building, and automating robust ETL data pipeline using Python, SQL, AWS, Terraform, and LLMs. Possesses direct, hands-on experience through a paid freelance project and an advanced academic dissertation focused on applying Generative AI to data analytics. Eager to leverage a strong foundation in cloud infrastructure, CI/CD, and emerging LLM technologies to contribute to a forward-thinking data team in a junior Data Engineer capacity.

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

Sheffield (up to 50km)

Sheffield Hallam University
Generative AI: Natural Language to SQL (MSc Dissertation)
EDUCATION AND E-LEARNING
May 2025 - Today (1 year and 1 month)
Sheffield, United Kingdom
Developing a user-friendly application that leverages a Large Language Model (LLM) to translate natural language queries into executable SQL code, empowering non-technical users to perform complex data analysis.
 Objective: To democratise data access by abstracting away the complexity of SQL syntax.
 Technologies: Python, LLMs (e.g., OpenAI API), Streamlit (for UI), SQL.
Python SQL AWS Generative AI LLM
Tech Returner
Freelance Data Engineer
TECH
April 2025 - June 2025 (2 months)
Leeds, United Kingdom
Successfully delivered a paid, independent project to build a data pipeline for analytics and machine learning enablement. GitHub [ https://github.com/mohsin-sarker/stream-guardian-articles ]
 Designed and developed a fully automated ETL data pipeline to extract article data from The Guardian's public API.
 Engineered a scalable solution using AWS Lambda for serverless data processing and AWS S3 for secure, cost-effective data storage.
 Provisioned and managed all cloud infrastructure using Terraform (IaC), ensuring a repeatable, version-controlled, and transparent environment.
 Implemented a CI/CD pipeline with GitHub Actions to automate testing and deployment, reducing manual error and accelerating delivery.
 Delivered the project on time, providing the client with clean, structured, and analysis- ready data.
Python Terraform ETL CI/CD AWS
Northcoders
Automated ETL Data Pipeline
EDUCATION AND E-LEARNING
July 2024 - September 2024 (2 months)
Leeds, United Kingdom
Collaborated within a team to build an end-to-end ETL data pipeline simulating a real-world business scenario.
 Designed a data model and schema to support analytical queries.
 Constructed a pipeline using Python scripts running on AWS Lambda triggers to process raw data from S3.
 Utilised Terraform for infrastructure deployment and CloudWatch for logging and monitoring pipeline health.
 Employed CI/CD practices to ensure code quality and automated deployments.
Python SQL AWS Terraform ETL