Enterprise ETL with Star Schema Design

🏗️ Architecture Highlights:

• 📥 Data Lake: Parquet ingestion from MinIO object storage
• ⚡ Processing: Distributed Spark ETL with dimensional modeling
• 🏛️ Data Warehouse: Star schema for OLAP analytics
• 📊 Visualization: Interactive Power BI dashboards

Real-time Streaming & Batch Processing Architecture

🏗️ Architecture Highlights:

• 📡 Data Sources: Transitland web scraping + GTFS real-time APIs
• 📦 Batch Processing: Daily ETL jobs with historical data versioning
• ⚡ Streaming Engine: Kafka + Spark for live vehicle tracking
• 🏛️ Data Warehouse: PostgreSQL staging + ClickHouse analytics
• 📊 Business Intelligence: Power BI & Metabase dashboards

Airflow-Powered ETL Automation

🔧 Orchestration Pipeline:

• 🏗️ Data Modeling: Dimensional modeling for retail analytics
• 📈 OLAP Engine: ClickHouse for high-performance queries
• 📊 Visualization: Power BI dashboards

Live Financial Data Streaming Platform

⚡ Real-time Features:

• 📡 API Ingestion: Live crypto/fiat prices from CoinGecko
• 🌊 Stream Processing: Flink SQL for data transformation
• 🔗 Data Joining: Real-time stream enrichment
• 📊 Fast Analytics: ClickHouse for sub-second queries
• 📈 Monitoring: Grafana dashboards for exchange rates

✅ Data Engineer in Python (Aug 2025)
✅ Associate Data Engineer in Snowflake (Jul 2025)
✅ Associate Data Engineer in SQL (Jun 2025)

Skills Mastered:

• Advanced Python for data engineering
• Cloud data warehousing with Snowflake
• Complex SQL optimization & performance tuning

🎓 AWS Academy Data Engineering (Jun 2025)
🎓 AWS Academy Cloud Foundations (Jun 2025)

Specializations:

• AWS data services ecosystem (S3, Glue, EMR, Redshift)
• Serverless data architectures
• Cost optimization for big data workloads
• Data security & compliance best practices

✅ Database Fundamentals (Apr 2025)
✅ Transact SQL Queries using SQL Server (Aug 2025)
✅ Implementing & Developing SQL Server Objects (May 2025)

Skills Mastered:

• Advanced T-SQL query optimization
• Stored procedures & function development
• Database design & normalization
• Performance tuning & indexing strategies

🚀 Coming Soon...

Building expertise through industry-leading courses

Target Areas:

• Google Data Models and Pipelines
• Meta Advanced Data Modeling

Stream Processing Excellence

• Complex event processing patterns
• Stateful stream transformations
• Watermarking and windowing strategies

Container Orchestration

• Data pipeline containerization
• Auto-scaling for variable workloads
• Service mesh for microservices

Modern Table Formats

• ACID transactions for data lakes
• Schema evolution capabilities
• Time travel and rollback features

Analytics Engineering

• Data transformation workflows
• Version control for data models
• Data quality testing and monitoring

🐍 Advanced Python for Data

• Concurrent and parallel processing
• Memory optimization techniques
• Custom data pipeline frameworks

Infrastructure as Code

• Cloud-agnostic infrastructure
• Data platform automation
• Resource provisioning at scale

🌟 Open Source Contributions

• Contributing to Apache Kafka
• Data engineering tool development
• Community-driven projects

⚡ Real-time Analytics Mastery

• Sub-second query performance
• Stream-batch unified processing
• Event-driven architectures

Building foundational skills for tomorrow's data challenges

🎓 Education: Electronics Engineering + ITI Data Engineering Track
💡 Philosophy: "Data without action is just expensive storage"
🎯 Mission: Building data platforms that scale from startup to enterprise
⚡ Specialty: Zero-downtime data migrations & real-time analytics

📈 Impact Metrics:

• 🚀 Performance: Improved query speeds by 10x through optimization
• 💰 Cost Savings: Reduced infrastructure costs by 60% via cloud optimization
• ⚡ Reliability: Achieved 99.9% uptime for critical data pipelines
• 📊 Scale: Processed petabytes of data across multiple industries