Data Engineer with 2+ years in Data Pipelines & AI Platforms
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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
February 1, 2018 – January 31, 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
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.
Cricket Statistics Analysis
January 1, 2021 – December 31, 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.
NYC Airbnb 2019 Data Analysis
January 1, 2021 – December 31, 2022
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 professional data engineering and software development roles, indicates adaptability and a broad interest in technology. Their experience across different companies and roles (Software Engineer, Data Engineer) suggests a willingness to learn and contribute in various capacities. The focus on measurable business outcomes aligns well with a results-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex data migration and pipeline design. Their experience with config-driven solutions and idempotent processes indicates an operational mindset focused on reliability and efficiency. The detailed project descriptions suggest good communication of technical achievements.