Data Engineer with 4+ years in AI-powered Data Platforms & Cloud
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Data Engineer with 2+ years of experience designing and deploying end-to-end data pipelines, cloud-native architectures, and AI-powered platforms across GCP and AWS. Proven track record of building scalable ETL systems, migrating large-scale data infrastructure (200M+ records), and integrating third-party APIs with hands-on expertise in Python, SQL, Snowflake, BigQuery, and OpenSearch. Passionate about turning raw, fragmented data into reliable, high-performance systems that drive measurable business outcomes.
COMSATS Lahore
BS · Computer Science
August 1, 2018 – June 30, 2022
The DataPrism
Data Engineer
January 1, 2025 – Present
Lahore, Punjab, Pakistan
Arkhitech
Software Engineer
April 1, 2024 – December 31, 2024
Lahore, Punjab, Pakistan
Rastah Labs
Software Engineer
March 8, 2022 – March 31, 2024
Lahore, Punjab, Pakistan
Cricket Statistics Analysis
January 1, 2022 – January 1, 2022
Analyzed cricket player statistics from an ESPN Cricinfo dataset using Python and Pandas. Cleaned and transformed data to extract insights including career length trends, strike rates, and country-based performance metrics. Documented findings in Jupyter Notebook.
Plant Growth Using ML (Final Year Project)
January 1, 2021 – December 31, 2022
Developed a machine learning model to optimize plant growth while minimizing water usage, using moisture and temperature sensors to monitor soil conditions over three months. Employed a regression model to analyze the collected data and make predictions, achieving 91% accuracy.
NYC Airbnb 2019 Data Analysis
January 1, 2019 – December 31, 2019
Conducted exploratory data analysis (EDA) on NYC Airbnb 2019 listings using Python. Cleaned and transformed data to uncover insights into pricing trends, room type distributions, host activity, and neighborhood-based patterns, utilizing visualization to present findings.
Cultural Fit Analysis
The candidate's project diversity, ranging from academic ML projects to personal data analysis and professional data engineering roles, indicates a broad interest in data-related fields. Their experience with various cloud platforms (GCP, AWS) and databases (Snowflake, BigQuery, PostgreSQL, OpenSearch) shows adaptability and a willingness to learn new technologies. The focus on building scalable, high-performance systems aligns well with a data-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex data migration and pipeline optimization projects. Their experience with config-driven solutions and automated workflows indicates an operational mindset focused on efficiency and scalability. The detailed project descriptions suggest good communication of technical achievements.