Data Engineer with less than a year in data pipelines, warehousing, and cloud technologies.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-oriented Data Engineer with a Bachelor's degree in Computer Science. Possessing strong skills in Python, SQL, and AWS, and experienced in building and optimizing ETL pipelines, designing data warehouses, and implementing data ingestion solutions. Proven ability to work with various data sources and tools, passionate about leveraging data to drive actionable insights.
University of Karachi
Bachelors of Computer Science · Computer Science
August 1, 2023 – Present
Adamjee Govt.Science College
Intermediate in Science · Pre-Engineering
June 1, 2020 – May 31, 2022
High Tech Software House
Data Science Intern
August 1, 2025 – September 1, 2025
India
Snowflake Weather Data Warehouse
September 1, 2025 – June 1, 2026
Developed a multi-layered ETL pipeline in Snowflake to process and analyze weather data from CSV and JSON sources. Implemented SQL scripts to automate data flow across Staging, ODS, and Data Warehouse layers, ensuring data quality, consistency, and scalability. Designed dimensional models to support efficient analytics and reporting.
Data Warehouse Design & SCD Implementation (Dockerized)
September 1, 2025 – June 1, 2026
Designed and implemented a data warehouse architecture showcasing fact and dimension modeling, SCD Type-1 & Type-2 handling, and data ingestion automation. Utilized SQL for schema creation and transformations, and Docker Compose for containerized execution. Included visual architecture diagrams and presentation materials for end-to-end demonstration.
Weather Data ETL Pipeline with Airflow & AWS
September 1, 2025 – June 1, 2026
Developed a containerized Airflow pipeline to extract real-time weather data from the OpenWeather API, transform it using Python and Pandas, and load it into AWS S3 and PostgreSQL for analytics. Deployed on AWS EC2 using Docker Compose with a CeleryExecutor setup (Redis, Postgres, Flower, pgAdmin) for workflow orchestration and monitoring.
Snowflake Data Ingestion & Automation Project
September 1, 2025 – June 1, 2026
Implemented and demonstrated multiple data-loading techniques in Snowflake using SQL, SnowSQL, and AWS S3 integration. Configured external stages, Snowpipe for automated ingestion, and utilized Time Travel for data recovery and auditing. Showcased secure, scalable, and real-time data ingestion workflows for both manual and automated pipelines.
SQL for Data Science
Unknown
June 1, 2026 – Present
Data science & analytic
Unknown
June 1, 2026 – Present
Introduction to SQL
Unknown
June 1, 2026 – Present
Basics of Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's personal projects demonstrate strong initiative and a proactive learning attitude, which aligns well with a culture of continuous improvement and self-driven development. The diversity of projects, covering various aspects of data engineering from warehousing to ETL and cloud deployment, indicates a broad interest in the field. The target role of Data Engineer is well-aligned with the candidate's project experience and technical skills, particularly in Snowflake, Airflow, and AWS. The candidate is currently pursuing a Bachelor's degree, which suggests a strong academic foundation and a commitment to formal education.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a structured approach to problem-solving and a focus on end-to-end solutions, including documentation and visual diagrams. The internship experience suggests an ability to work within a team and follow established workflows for data collection, cleaning, and analysis. However, without direct interview data, specific soft skills like leadership, conflict resolution, or advanced communication cannot be fully assessed.