$ cat description.md
Ritik is a self-learning Data Engineering learner
from India,focused on building strong foundations
in data systems,analytics,and cloud technologies.
His work primarily revolves around Python, SQL, Power BI,
PostgreSQL, and modern data engineering workflows.
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| 🐍 Data & Analytics | ☁️ Cloud & Engineering |
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| 📊 BI & Visualization | 🗄️ Databases & Storage |
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| Category | Technologies | Proficiency Level | Experience |
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| Programming | Python, SQL/T-SQL | ⭐⭐⭐⭐⭐ Advanced | 2+ years |
| Data Engineering | ETL Pipelines, Airflow, Spark | ⭐⭐⭐⭐ Intermediate-Advanced | 1.5+ years |
| Cloud Platforms | Azure, AWS, Databricks | ⭐⭐⭐⭐ Intermediate | 1+ year |
| BI & Analytics | Power BI, Tableau, DAX | ⭐⭐⭐⭐⭐ Advanced | 2+ years |
| Databases | PostgreSQL, SQL Server, MongoDB | ⭐⭐⭐⭐ Intermediate-Advanced | 2+ years |
| Machine Learning | PyTorch, Scikit-learn, NLP | ⭐⭐⭐ Intermediate | 8+ months |
| DevOps | Git, Docker, CI/CD | ⭐⭐⭐ Intermediate | 1+ year |
| Web Development | JavaScript, TypeScript, HTML/CSS | ⭐⭐ Beginner-Intermediate | 6+ months |
| Certification | Status | Provider | Completion Date |
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| Azure Data Engineer Associate | 🎯 In Progress | Microsoft | Target: Q1 2026 |
| Google Cloud Professional Data Engineer | 📚 Planned | Target: Q2 2026 | |
| AWS Certified Data Analytics | 📚 Planned | Amazon | Target: Q3 2026 |
| Databricks Certified Associate Developer | 🎯 In Progress | Databricks | Target: Q2 2026 |
| Python for Data Science | ✅ Completed | LinkedIn Learning | 2024 |
| Advanced SQL for Data Analysis | ✅ Completed | Udemy | 2024 |
| Power BI Data Analyst | ✅ Completed | Microsoft | 2023 |
🗺️ Detailed Learning Roadmap
- ✅ Master Apache Airflow for production orchestration
- ✅ Deep dive into Azure Synapse Analytics
- ✅ Build 3 end-to-end ETL projects
- 🎯 Obtain Azure Data Engineer certification
- 🎯 Contribute to Apache Airflow documentation
- 📚 Learn Kafka for real-time streaming
- 📚 Implement data mesh architecture
- 📚 Master Databricks Lakehouse platform
- 📚 Obtain Google Cloud Data Engineer certification
- 📚 Launch RitSky Global analytics platform MVP
- 📚 Explore MLOps and model deployment
- 📚 Master Snowflake data warehousing
- 📚 Learn Kubernetes for container orchestration
- 📚 Build open-source data engineering toolkit
- 📚 Speak at 2+ data engineering conferences
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Interactive Business Intelligence Dashboards A comprehensive collection of Power BI and Tableau dashboards delivering actionable insights across multiple business domains. Tech Stack: Power BI, Tableau, DAX, SQL
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Complete Python Learning Journey Structured curriculum from basics to advanced concepts, specifically tailored for data engineering and analytics. Tech Stack: Python, Jupyter, Pandas, NumPy
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Modern Data Warehouse Architecture Enterprise-grade data warehouse implementing dimensional modeling, ETL workflows, and optimized query performance. Tech Stack: T-SQL, SQL Server, SSIS, Azure
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Interactive Coding Experiments Experimental JavaScript/TypeScript projects exploring modern web technologies and creative coding patterns. Tech Stack: JavaScript, TypeScript, Node.js
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| Metric | Count | Status |
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| Total Repositories | 20+ | 🟢 Active |
| Original Projects | 8 | 🚀 Growing |
| Learning Forks | 12 | 📚 Completed |
| Languages Used | 8+ | 💻 Expanding |
| Active Projects | 5 | 🔄 In Development |
Coming Soon — launching on Medium and Dev.to
Planned Topics: ETL with Airflow · Python Best Practices · Azure Synapse Architecture · Advanced DAX · ML in Pipelines · Kafka Streaming
Actively working to contribute to data engineering tools, Python libraries, BI templates, and educational documentation.
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🌍 India | ⏰ IST (UTC+5:30) | 💼 Open to remote & freelance | 🎯 Reply: 24–48h
Made with ❤️ from India | Last Updated: January 2026