I'm a data-focused professional with 3.5+ years in Enterprise Content Management (OpenText VIM), now transitioning into the world of Snowflake and Data Engineering.
- 💼 Experienced in SAP-integrated document processing & enterprise workflow automation
- 🔄 Actively transitioning into Snowflake & Data Engineering
- 📊 Strong foundation in SQL, ETL concepts, and data handling
- 🚀 Passionate about how scalable cloud data systems power modern businesses
- 🎯 Goal: Land a role as a Snowflake Developer / Data Engineer
After years in enterprise document systems, I'm moving toward data warehousing and analytics — where raw data becomes real insight.
- Shifted focus from business process automation → cloud-native data platforms
- Fascinated by Snowflake's architecture and how it handles large-scale data
- Learning how to build, optimize, and deliver production-grade data solutions
- ✅ Writing efficient SQL queries for analytics and reporting
- ✅ Snowflake architecture — virtual warehouses, databases, schemas, roles
- ✅ Data loading using stages, COPY INTO, and Snowpipe
- ✅ Query optimization and performance tuning
- ✅ Fundamentals of ETL pipelines and data orchestration
📊 Data Engineering (Current Focus)
Snowflake |
SQL |
Python |
🗂️ ECM & Enterprise (3.5+ Years Experience)
OpenText VIM |
OnBase Hyland |
CoreCapture |
CoreArchive |
SAP |
🌐 Prior Frontend Exposure
|
JavaScript |
React |
MongoDB |
- ❄️ Building a Snowflake-based data warehouse from scratch — warehouses, schemas, roles setup
- 📊 Creating SQL-driven analytics use cases from raw datasets
- 🔄 Experimenting with ETL workflows — staging, transformation, and loading pipelines
- 🧩 Exploring integration between Snowflake, SQL, and BI/reporting tools
- 🔥 Deepening Snowflake skills through hands-on projects
- 🏗️ Building production-like data workflows
- 📝 Documenting learnings on LinkedIn & GitHub
- 💡 Strengthening SQL fundamentals with real datasets