Learning Data Engineering · SQL · Python
I am a BCA student and an aspiring Data Engineer. I am building strong
fundamentals in SQL, Python, and data handling by working on real-world
learning projects.
My goal is to grow step by step, understand how data systems work,
and become a reliable data professional.
I focus on building strong fundamentals first before moving to advanced tools.
Started BCA and built strong basics in programming logic, problem solving, and computer fundamentals.
Learned SQL basics, data cleaning concepts, and how real-world datasets are structured.
Working on SQL queries, Python data analysis, and small ETL-style practice projects.
Planning to learn data modeling, pipelines, and production-style workflows.
Worked on raw datasets containing missing values, duplicates, and inconsistent formats. Focused on writing clean, readable SQL queries.
Analyzed sales data to understand monthly trends and performance patterns using Python.
Built a small ETL-style workflow to understand how raw data moves through cleaning and transformation stages.
Step-by-step beginner friendly roadmap for Data Engineering.
Open Study Material →Open to internships, entry-level roles, and serious learning opportunities. If you’re working on data, systems, or analytics — let’s connect.
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