Turning data into insights and ideas into scalable solutions.
💻 Computer Science Engineer passionate about Python, backend development, and cloud data engineering.
- 🔭 Focused on: Python, SQL, ETL/ELT & Backend APIs
- ☁️ Exploring: Azure, AWS, Databricks, PySpark & Snowflake
- 🧠 Problem Solving: 568+ DSA problems on LeetCode & GeeksforGeeks
- 📈 Goal: Building reliable data pipelines and scalable applications
- 📍 Based in: Bhopal, India
Core Concepts & Learning Areas
- ETL / ELT Pipeline Development
- Data Extraction, Transformation & Loading
- Data Integration & Processing
- Data Warehousing & Data Modeling
- Distributed Data Processing with Spark / PySpark
- Cloud-Based Data Storage & Analytics
- Data Quality, Validation & Pipeline Monitoring
I enjoy developing backend applications and working with databases, authentication systems, and APIs.
Development Focus:
- Designing and developing RESTful APIs using Python
- Building backend applications with Django and exploring FastAPI
- Implementing authentication and role-based access control
- Working with relational databases and SQL queries
- Integrating external APIs and handling JSON data
- Writing maintainable, modular, and reusable Python code
- Exploring API testing, performance, and backend architecture
My primary career goal is to become a Cloud Data Engineer, designing reliable and maintainable data pipelines and analytics solutions.
I'm building my knowledge across the modern data engineering ecosystem.
| Area | Technologies / Concepts |
|---|---|
| Programming | Python, SQL |
| Cloud Platforms | Microsoft Azure, AWS |
| Data Processing | Pandas, Apache Spark, PySpark |
| Data Platforms | Databricks, Snowflake |
| Data Integration | ETL/ELT, Data Pipelines |
| Data Storage | SQL Databases, Data Lakes, Data Warehouses |
| Analytics | Power BI, Matplotlib |
| Architecture | Data Modeling, Data Transformation, Data Quality |
Current Learning Priorities
- Strengthening advanced SQL and Python for data engineering.
- Building and understanding ETL/ELT pipelines.
- Exploring Azure-based data engineering services.
- Developing practical knowledge of Databricks and PySpark.
- Understanding data warehousing, dimensional modeling, and pipeline orchestration.
- Improving data quality, monitoring, and production troubleshooting skills.
- Cloud Data Engineering
- Python Backend Development
- Data Pipeline Architecture
- Big Data Processing
- Database Design & Optimization
- Cloud Computing
- Data Analytics & Business Intelligence
- Problem Solving & Algorithms
- Software Engineering Best Practices
| Platform | Achievement |
|---|---|
| LeetCode | 411+ Problems Solved |
| GeeksforGeeks | 157+ Problems Solved |
| HackerRank | 4-Star Problem Solving Rating |
Web Development Intern — BoostUp Digital
- Completed a web development internship, gaining exposure to practical development workflows.
Graphic Designing Team — Oriental Group Newsletter
- Contributed to graphic design and visual content for the Oriental Group Newsletter.
I'm interested in collaborating and exploring opportunities in Cloud Data Engineering, Python Backend Development, and Software Engineering.
Learning continuously. Building consistently. Growing as a Cloud Data Engineer and Python Developer.