Looking for a job

Saqueeb User

@saqueebuser

Message

I’m a data engineering fresher focused on building fast, validated ETL pipelines and analytics-ready models.

India

Message

What I'm looking for

I’m looking for a role where I can build production-grade ETL pipelines with incremental loading and strong data validation, work with SQL/Python/PySpark, and contribute to analytics and automation using tools like Power BI and ML techniques.

I’m a data engineering fresher with hands-on experience in ETL pipeline development, SQL-based data modeling, and Python scripting. I built and deployed an end-to-end ETL pipeline processing 541,909 records into a star schema using SQL Server, with watermark-based incremental loading and automated data validation.

I design data workflows across structured and semi-structured sources like CSV, Excel, JSON, and databases, aiming for reliable, production-grade outcomes. I also built an AI/ML bias detection and mitigation tool using scikit-learn and fairlearn, and I’m familiar with Power BI for data visualization and Git-based version control.

Experience

Work history, roles, and key accomplishments

E-Commerce ETL Pipeline

Independent Projects

Jan 2026 - Present (5 months)

Designed and deployed a production-grade ETL pipeline ingesting 541,909 raw records from CSV/Excel/database sources into a normalized star schema (dim date, dim product, dim customer, fact sales). Implemented watermark-based incremental loading and automated validation, reducing runtime to ~27 seconds and improving data quality by 27% (392,692 clean records retained).

Python SQL Server T SQL Pyspark Watermark Based Incremental Loading Star Schemas Data Validation Git

Bias Detection & Mitigation

Independent Projects

Jan 2025 - Present (1 year 5 months)

Built a solo HACKFEST 2025 tool to detect and mitigate bias using fairness-aware ML, including preprocessing, model training, and fairness evaluation pipelines. Used scikit-learn and fairlearn to implement bias detection workflows for AI-driven data enrichment use cases.

Python scikit learn Fairlearn data preprocessing Model Training Machine Learning Pipelines

Education

Degrees, certifications, and relevant coursework

Sister Nivedita University

Bachelor of Technology, Computer Science and Engineering

2021 -

Grade: CGPA: 6.84; Semester 5 SGPA: 8.00

Activities and societies: Relevant coursework: Introduction to Data Science, Cloud Architecture and Services, Cryptography and Network Security. Certifications: HackerRank SQL (Basic & Intermediate), IBM AI Fundamentals, Google Cloud Fundamentals, DataCamp SQL courses (Beginner/Intermediate).

Bachelor of Technology in Computer Science and Engineering at Sister Nivedita University (Aug 2021–May 2027). Current CGPA is 6.84 (Semester 5 SGPA: 8.00).