About
Data Engineering fresher with 8 months of internship experience at Lumiq, building data pipelines processing 1M+ records daily, cutting data processing time by 35% using Apache Spark, and achieving 99.9% pipeline accuracy. Skilled in Python, SQL, Apache Airflow, Amazon Redshift, DAX, and Power BI dashboarding, data visualization, and stakeholder reporting. Targeting Data Engineer, Data Analyst, and BI Developer roles.
Skills & Expertise (32)
Work Experience
Data Engineering Intern
Lumiq
Jun 2025 - Jan 2026
Built 12+ automated ETL pipelines using Python and Apache Airflow, cutting manual data ingestion time by 40% and scaling throughput to 1M+ records/day. Processed 50GB+ datasets per pipeline run with Apache Spark, shrinking job execution time from 4 hours to 85 minutes (a 65% cut). Migrated 3 reporting workflows to Amazon Redshift with partition pruning and sort keys, delivering 2x faster query response times for 5+ BI analysts. Rewrote 20+ slow SQL queries across PostgreSQL and MySQL using CTEs and indexes, trimming average query execution time by 30% (from 10s to 7s). Deployed data validation framework covering 15+ pipeline checkpoints, maintaining 99.9% data accuracy across all downstream reporting systems.
Education
B.Tech – Information Technology - Galgotias University
2022 - 2026 · Afghanistan
Certifications
Database Programming with SQL
Oracle Academy · 2024
Programming Fundamentals using Python
Infosys Springboard · 2024
Data Fundamentals
IBM SkillsBuild · 2023
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Skills (32)
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