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manojkumarkhedkar/README.md

Hi there, I'm Manoj Kumar Khedkar 👋

❄️ Snowflake Data Engineer | Cloud Data Platform Specialist | SQL & Python Enthusiast

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🧊 About Me

I am a passionate Snowflake Data Engineer with expertise in designing and building scalable cloud data platforms. I specialize in transforming raw data into actionable insights using modern data engineering practices.

  • 🔭 Currently working on Snowflake Data Pipelines & Cloud Data Warehousing
  • 🌱 Deepening expertise in Snowpark, dbt, and Snowflake Native Apps
  • 💡 Passionate about Data Modeling, ELT Pipelines & Performance Optimization
  • 🤝 Open to collaborate on Data Engineering & Analytics Projects
  • 📫 Reach me on LinkedIn

❄️ Snowflake Expertise

Snowflake Feature Proficiency
❄️ Virtual Warehouses & Resource Monitors ⭐⭐⭐⭐⭐
🔄 Snowpipe & Continuous Data Ingestion ⭐⭐⭐⭐⭐
📊 Streams & Tasks (CDC Pipelines) ⭐⭐⭐⭐⭐
🏗️ Data Modeling (Star & Snowflake Schema) ⭐⭐⭐⭐⭐
🔐 Role-Based Access Control (RBAC) ⭐⭐⭐⭐⭐
📦 Zero-Copy Cloning & Time Travel ⭐⭐⭐⭐⭐
🐍 Snowpark (Python / Java / Scala) ⭐⭐⭐⭐☆
🔗 Data Sharing & Marketplace ⭐⭐⭐⭐☆

🛠️ Tech Stack

☁️ Cloud Platforms

🗃️ Data & ETL Tools

💻 Languages

📊 BI & Visualization


🏗️ Key Projects

❄️ 1. Snowflake Data Warehouse — End-to-End Pipeline

Built a fully automated ELT pipeline ingesting data from S3 → Snowflake using Snowpipe, Streams & Tasks, and dbt for transformation.

  • Implemented multi-layer architecture: Raw → Staging → Curated → Semantic
  • Reduced query time by 60% via clustering keys & materialized views
  • Technologies: Snowflake dbt AWS S3 Snowpipe Python

🔄 2. Real-Time CDC Pipeline with Snowflake Streams

Designed a Change Data Capture (CDC) solution using Snowflake Streams & Tasks to sync transactional data in near real-time.

  • Automated incremental data processing with zero manual intervention
  • Handled 10M+ records/day with less than 5-minute latency
  • Technologies: Snowflake Streams Tasks Kafka Python

📦 3. Data Vault 2.0 Implementation on Snowflake

Implemented a Data Vault 2.0 architecture for a scalable historical data warehouse with Hubs, Links, and Satellites.

  • Enabled full auditability and historization of enterprise data
  • Integrated with dbt for automated Data Vault loading patterns
  • Technologies: Snowflake dbt Data Vault 2.0 SQL

🔐 4. Snowflake RBAC & Data Governance Framework

Designed and implemented a comprehensive Role-Based Access Control system for enterprise Snowflake accounts.

  • Created hierarchical role structures with column-level security & dynamic data masking
  • Set up resource monitors and cost alerts to optimize Snowflake credit usage
  • Technologies: Snowflake RBAC Dynamic Data Masking Row Access Policies

📈 GitHub Stats


🏅 Certifications & Learning

  • 🥇 Snowflake SnowPro Core Certification (In Progress)
  • ☁️ AWS Certified Data Engineer – Associate (In Progress)
  • 🐍 Python for Data Engineering
  • 🔧 dbt Fundamentals

📬 Let's Connect


profile views

"Turning raw data into reliable insights — one pipeline at a time." ❄️

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