Data Engineer with less than a year in PySpark & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Data Engineer with a passion for building reliable data pipelines and transforming raw data into meaningful business insights. Eager to apply knowledge of big data processing, pipeline development and data visualization in a professional environment.
Government College University Faisalabad.
Bachelor of Science · Computer Science
February 1, 2022 – June 1, 2026
Ridesharing Data Engineering Pipeline
January 1, 2026 – June 1, 2026
Built end-to-end data pipeline using Medallion Architecture (Bronze→Silver→Gold) on Databricks with PySpark, SQL, NumPy and Pandas. Processed and cleaned ridesharing dataset using PySpark applying 8 automated data quality validation checks. Orchestrated pipeline with Apache Airflow DAG and Databricks Workflows with daily scheduling and task dependency management. Stored all pipeline data as Delta Lake tables in Databricks catalog (14 Delta tables across Bronze, Silver and Gold layers). Built interactive Power BI dashboard connected to Databricks Gold Layer covering revenue, ride and cancellation analytics across 4 pages.
View ProjectPower BI Analytics Dashboard
January 1, 2026 – June 1, 2026
Built interactive Power BI dashboard connected directly to Databricks Gold Layer Delta tables using Personal Access Token. Designed 4 analytical pages: Admin Dashboard (KPIs), Revenue Analysis, Ride Analysis and Cancellation Analysis with cross-filtering. Visualized key metrics including 59.9K rides, 43.8K drivers, 8.85M total revenue and 11.7K cancellations.
View ProjectAI & Data Science
Prime Minister's Youth Skill Development Program (PMYSDP)
February 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with the Data Engineer role, focusing on pipeline development, big data processing, and data visualization. The self-learning and project-driven approach indicate a proactive and growth-oriented mindset. However, the lack of diverse project types or team-based experience limits the assessment of broader cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate highlights problem-solving, self-learning, and attention to detail as soft skills. The project descriptions suggest an ability to work independently on complex data engineering tasks. However, without actual work experience, the operational fit in a team environment and under professional pressure is unproven.