- 🔭 I’m currently working on end-to-end data systems (ETL, pipelines, analytics, BI)
- ⚙️ My role says Data Engineer, but I work across:
- Data Engineering 🏗️
- Data Analysis 📊
- Data Science 🤖
- ☁️ Working with Cloud-based data platforms (BigQuery, pipelines, orchestration)
- 📈 Building real-world data pipelines, dashboards & analytics systems
- 🧠 Always learning better ways to move, transform, and understand data
- Build ETL pipelines from raw → analytics-ready data
- Work with Amazon data Stream data
- Design optimized data models for BI tools
- Handle data ingestion, transformation, aggregation
- Create hourly + range-based analytics systems
- Work on data quality, deduplication, validation
- Build automated pipelines using orchestration tools
- Optimize queries for performance & scalability
- Advanced Data Engineering Patterns
- Scalable Data Pipelines & Architecture
- Machine Learning (practical use in data workflows)
- Real-time & streaming systems
- Cloud-native data engineering
- 🧩 I don’t just analyze data — I debug its personality
- 🕵️ Sometimes data is wrong… I interrogate it until it confesses
- ⚡ Turning messy data into insights feels like solving a puzzle
- 🚀 I enjoy building systems that make data just work automatically
- ☕ Most pipelines are built with SQL + Python + coffee
- 🌐 Portfolio: Steffin_Portfolio
- 📫 Email: steffinthomas12@gmail.com
- 📄 Resume: View Resume



