$ whoami --personality
Name : Ritik Kumar
Role : Data Engineering Learner
Location : Patna, India
Experience : ~2 years (hands-on practice)
Summary:
- Coding, data analysis, aur basic data visualization me consistent practice
- Focus: strong foundation in data engineering concepts
---
$ cat journey.log
[INFO] Learning Path
- Data Structures & Algorithms
- Database Systems (SQL)
- Basic Machine Learning concepts
[INFO] Practical Work
- 20+ repositories built
- Hands-on experimentation with datasets and queries
[INFO] Initiative
- RitSky Global (early-stage, learning-focused project)
- Focus: data & analytics use cases explore karna
[INFO] Current Focus
- Cloud fundamentals
- BI tools
- Data engineering workflows
---
$ echo "mindset"
- Self-learning driven
- Consistency over hype
- Learning by building
$ exit — Ritik Kumar | Founder, RitSky Global | Patna, India 🇮🇳
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"Data isn't just numbers—it's the language of modern innovation. My mission is to make this language accessible, ethical, and transformative for everyone."
I prioritize:
- 🔒 Data Ethics: Privacy-first approach and responsible AI practices
- 🌍 Open Source: Giving back to the community that taught me
- 📚 Continuous Learning: Staying ahead in a rapidly evolving field
- 🤝 Collaboration: Building solutions together, not in silos
- ♻️ Sustainability: Writing efficient, maintainable code that scales
🎭 Beyond the Code
When I'm not wrangling data or optimizing queries, you'll find me:
- 🎵 Analyzing Spotify trends and building music recommendation systems
- 📖 Reading about the latest in distributed systems and cloud architecture
- 🎮 Exploring game theory and applying it to business strategy
- ✍️ Writing technical articles and creating educational content
- 🌱 Contributing to environmental data projects and sustainability initiatives
- 🏃 Running, meditating, and maintaining work-life balance
Fun Fact: I once built a data pipeline that analyzes cricket statistics in real-time during IPL matches—because cricket + data = ❤️
| 🐍 Data & Analytics | ☁️ Cloud & Engineering |
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| 📊 BI & Visualization | 🗄️ Databases & Storage |
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| Category | Technologies | Proficiency Level | Experience |
|---|---|---|---|
| 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 |
|---|---|---|---|
| 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
Impact: Enabled data-driven decision making for 5+ client projects
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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
Impact: Educational resource for aspiring data professionals
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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
Impact: Scalable foundation for enterprise analytics
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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
Impact: Bridging data engineering with frontend development |
🎓 Educational Repositories (Click to Expand)
| Repository | Description | Tech | Updated | Status |
|---|---|---|---|---|
| databricks_bootcamp_2026 | Databricks fundamentals & Lakehouse architecture | Jupyter, PySpark | Jan 2026 | 🔄 Active |
| end-to-end-data-engineering-project | Complete data pipeline from ingestion to visualization | Python, Airflow | Nov 2023 | ✅ Completed |
| pandas-essential-training | Comprehensive Pandas training with real datasets | Python, Jupyter | Mar 2025 | ✅ Completed |
| learning-python-3980343 | Foundational Python programming course | Python | Feb 2025 | ✅ Completed |
| Advanced-Power-BI | Advanced DAX, data modeling & visualization | Power BI, DAX | Aug 2022 | ✅ Completed |
| microsoft-sql-server-samples | SQL Server sample databases & queries | T-SQL | Sep 2023 | ✅ Completed |
🧪 Innovation Lab (Click to Expand)
- Speaking-Communication-: Public speaking exercises and techniques
- Public_Speaking_Foundations: Structured communication frameworks
- json-essential-training: JSON fundamentals and APIs
- fundamentals-of-vibe-coding: TypeScript and modern coding patterns
- python-learning-: Continuous Python practice repository
- hrithik-awesome-projects: Collection of personal experiments
- githubfoundations: GitHub best practices and workflows
- SQL-Server: SQL Server learning and optimization
| Metric | Count | Status |
|---|---|---|
| Total Repositories | 20+ | 🟢 Active |
| Original Projects | 8 | 🚀 Growing |
| Learning Forks | 12 | 📚 Completed |
| Languages Used | 8+ | 💻 Expanding |
| Total Stars | Growing | ⭐ Community Support |
| Active Projects | 5 | 🔄 In Development |
| Monthly Commits | 50+ | 💪 Consistent |
🎯 Project Categorization & Focus Areas
Data Engineering (40%)
- ETL Pipeline Development
- Data Warehouse Architecture
- Cloud-based Data Solutions
- Real-time Data Processing
Business Intelligence (30%)
- Dashboard Development
- Advanced DAX & SQL
- Data Visualization
- KPI Tracking & Reporting
Python Development (20%)
- Data Analysis & Manipulation
- Automation Scripts
- Machine Learning Models
- API Development
Learning & Experimentation (10%)
- New Technologies
- Open Source Contributions
- Skill Development
- Community Projects
Jan 2024 - Present | Patna, India
Building AI-powered data solutions and export analytics platforms for global businesses.
Key Responsibilities:
- 🎯 Architecting scalable ETL pipelines processing 1M+ records daily
- 📊 Developing real-time analytics dashboards for export business insights
- 🤖 Implementing ML models for predictive market analysis
- 🌍 Managing end-to-end data infrastructure for international clients
- 👥 Leading technical strategy and product development
Major Achievements:
- ✅ Built proprietary export analytics platform from ground up
- ✅ Reduced data processing time by 60% through pipeline optimization
- ✅ Delivered 15+ custom BI dashboards for diverse industries
- ✅ Established data governance framework ensuring 99.9% accuracy
- ✅ Onboarded 5+ enterprise clients in first year
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20+ Projects Completed Built comprehensive portfolio spanning data engineering, BI, and ML |
Open Source Contributor Sharing knowledge through code, documentation, and mentorship |
5+ Certifications Committed to staying current with evolving tech landscape |
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AI-Powered Solutions Leveraging ML for predictive analytics and automation |
Founded RitSky Global Transforming vision into viable data products |
International Clients Delivering data solutions across borders |
Bachelor's in Data Engineering (Ongoing)
Focus: Database Systems, Data Structures, Machine Learning, Cloud Computing
View All Completed Courses (15+)
- ✅ End-to-End Data Engineering Project - LinkedIn Learning
- ✅ Databricks Lakehouse Bootcamp 2026 - Databricks Academy
- ✅ Apache Airflow Fundamentals - Udemy
- ✅ Azure Data Factory & Synapse - Microsoft Learn
- ✅ Advanced Power BI: DAX & Data Modeling - Udemy
- ✅ Tableau Desktop Specialist - Tableau Learning
- ✅ Power BI Data Analyst Associate - Microsoft
- ✅ Learning Python 3 - LinkedIn Learning
- ✅ Pandas Essential Training - LinkedIn Learning
- ✅ Advanced SQL for Data Analysis - Udemy
- ✅ JSON Essential Training - LinkedIn Learning
- ✅ Public Speaking Foundations - LinkedIn Learning
- ✅ Communication for Technical Professionals - Coursera
- ✅ GitHub Foundations - GitHub Skills
- ✅ Azure Fundamentals (AZ-900) - Microsoft
- ✅ Docker for Data Science - DataCamp
Coming Soon: Planning to launch technical blog series on Medium and Dev.to
Planned Topics:
- 📊 "Building Production-Ready ETL Pipelines with Apache Airflow"
- 🐍 "Python Best Practices for Data Engineers"
- ☁️ "Architecting Data Warehouses on Azure Synapse"
- 📈 "Advanced DAX Patterns for Power BI"
- 🤖 "Integrating ML Models into Data Pipelines"
- 🌊 "Real-time Analytics with Apache Kafka"
Future Goals:
- 🎯 Speak at local tech meetups (Target: Q2 2026)
- 🎯 Present at data engineering conferences (Target: Q3 2026)
- 🎯 Host webinars on BI best practices (Target: Q2 2026)
- 🎯 Create YouTube tutorial series (Target: Q3 2026)
"The best way to learn is to teach, and the best way to grow is to give back."
I'm actively working to contribute more to open-source projects, particularly in:
- 📊 Data engineering tools and frameworks
- 🐍 Python libraries for data analysis
- 📈 BI visualization templates
- 📚 Educational resources and documentation
Technologies: Power BI, DAX, SQL Server |
Technologies: Power BI, Python, Azure |
Technologies: Tableau, R, PostgreSQL |
Technologies: Python, Plotly, MongoDB |
gantt
title Ritik Kumar - Career Roadmap 2026
dateFormat YYYY-MM-DD
section Certifications
Azure Data Engineer :2026-01-01, 90d
Google Cloud Professional :2026-04-01, 90d
AWS Data Analytics :2026-07-01, 90d
section Skills Development
Master Apache Airflow :2026-01-01, 120d
Learn Kafka Streaming :2026-03-01, 90d
MLOps Implementation :2026-06-01, 120d
section Projects
RitSky Analytics Platform :2026-01-01, 180d
Open Source Contribution :2026-02-01, 300d
ML Pipeline Framework :2026-05-01, 150d
section Community
Technical Blog Launch :2026-02-01, 30d
Conference Speaking :2026-06-01, 60d
YouTube Channel Start :2026-08-01, 120d
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📖 Books I Recommend
- 📕 "Designing Data-Intensive Applications" - Martin Kleppmann
- 📗 "The Data Warehouse Toolkit" - Ralph Kimball
- 📘 "Fundamentals of Data Engineering" - Joe Reis & Matt Housley
- 📙 "Data Pipelines Pocket Reference" - James Densmore
- 🐍 "Python for Data Analysis" - Wes McKinney
- 💻 "Fluent Python" - Luciano Ramalho
- 🔧 "Effective Python" - Brett Slatkin
- 🤖 "Hands-On Machine Learning" - Aurélien Géron
- 🧠 "Deep Learning" - Ian Goodfellow
- 📊 "Python Machine Learning" - Sebastian Raschka
🎥 Online Platforms I Use
- 🎓 LinkedIn Learning - Professional development courses
- 🎯 Udemy - Technical deep-dives
- 🚀 DataCamp - Interactive data science learning
- 📺 Coursera - University-level courses
- 💡 Pluralsight - Technology skill paths
- 🔬 YouTube - Tutorials and tech talks
🌐 Communities I'm Active In
- 💬 Stack Overflow - Q&A and knowledge sharing
- 🐙 GitHub Discussions - Open source collaboration
- 💼 LinkedIn Groups - Data engineering communities
- 🐦 X (Twitter) - Tech news and networking
- 💻 Dev.to - Technical writing and discussions
- 🎮 Discord - Real-time developer communities
I'm always open to collaborating on exciting projects! Here's how we can work together:
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I'm passionate about helping others grow in data engineering:
- ✅ Career Guidance - Resume reviews, interview prep
- ✅ Technical Mentoring - Code reviews, architecture discussions
- ✅ Project Support - Guidance on personal projects
- ✅ Learning Path - Customized roadmaps for skill development
Reach out via: LinkedIn DM or Email
Whether you want to discuss data engineering, collaborate on projects, or just chat about tech—my inbox is always open.
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Best for professional networking and opportunities |
For detailed discussions and collaborations |
Check out my data visualizations |
Quick updates and tech thoughts |
🌍 Based in: Patna, Bihar, India
⏰ Timezone: IST (UTC+5:30)
💼 Open to: Remote opportunities, freelance projects, collaborations
🎯 Response Time: Usually within 24-48 hours
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I analyze Spotify streaming data for fun, building ML models to predict hit songs and discover emerging artists. My personal playlist is curated by algorithms I built! Built a real-time IPL statistics tracker that analyzes player performance, predicts match outcomes, and identifies winning strategies—because cricket + data = ❤️ Working on environmental data projects to analyze climate patterns and promote sustainable practices through data-driven insights. |
Currently reading "Designing Data-Intensive Applications" while experimenting with Kafka streaming. Always have 2-3 technical books on rotation. Love tackling complex optimization problems—whether it's reducing query time from minutes to seconds or finding efficient ETL patterns for terabyte-scale data. From Patna to the world: Building solutions that bridge local expertise with global standards, making quality data engineering accessible everywhere. |
"Data is the new oil, but like oil, it's valuable only when refined. I'm here to be the refinery."
Special thanks to:
- 🌟 Open Source Community - For countless learning resources
- 👨🏫 Mentors & Teachers - Who guided my journey
- 🤝 LinkedIn Learning - For quality education
- 👥 GitHub Community - For collaboration and feedback
📊 View All 20 Repositories (Detailed)
| Repository | Description | Lang | Stars | Forks | Updated |
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| Ritik574-coder | 🏠 Profile README & configs | HTML | - | - | Jan 24, 2026 |
| Bi-Project- | 📊 Interactive BI dashboards | - | ⭐ 1 | 🍴 0 | Jan 20, 2026 |
| SQL-Server | 🗄️ SQL learning & optimization | TSQL | - | - | Jan 19, 2026 |
| python-foundations-to-mastery | 🐍 Python comprehensive guide | Python | ⭐ 1 | 🍴 0 | Jan 12, 2026 |
| Speaking-Commination- | 🎤 Communication skills | - | - | - | Jan 7, 2026 |
| SQL-data-Warehouse-Project | 🏗️ Modern data warehouse | TSQL | ⭐ 1 | 🍴 0 | Jan 2, 2026 |
| Vibe-Coding-Project | 💻 JavaScript experiments | JS | - | - | Jan 22, 2026 |
If you've made it this far, thanks for your interest! Whether you're a fellow data engineer, a potential collaborator, or just curious about what I do—I'd love to connect.
Remember: Every expert was once a beginner. Keep learning, keep building, keep growing! 🚀
Made with ❤️ and ☕ from Patna, India
Last Updated: January 24, 2026
© 2026 Ritik Kumar | RitSky Global | All Rights Reserved