🔍 Proactive Data Engineer passionate about making data work for people, not just systems.
With a BSc in Computer Science and a proactive mindset, I'm a Data Engineer passionate about building scalable data solutions using Python, SQL, and cloud technologies, and transforming data into meaningful insights for business intelligence and analytics.
- 🏗️ Cloud: AWS (strong), GCP (basic), Azure (basic)
- ⚡ ETL & Orchestration: Apache Airflow, Lambda, Cron
- 📊 Databases & Warehouses: PostgreSQL, Redshift, Snowflake (basic), BigQuery (basic)
- 🐍 Programming: Python, SQL, Java (basic), JavaScript (basic)
- 📡 Streaming & Queues: Kafka (familiar)
- 📈 Monitoring & Analytics: Grafana, Quicksight, Streamlit
- 💡 Interests: Data modeling, automation, performance optimisation, machine learning integration
- 🚀 Building end-to-end ETL pipelines on AWS (S3 → Lambda → Redshift → Quicksight).
- 🛠️ Designing schemas and databases (PostgreSQL, Redshift, Snowflake).
- 📊 Creating dashboards and analytics platforms with Grafana & Quicksight.
- ⚡ Automating workflows with Airflow & Docker Compose.
- 🧩 Exploring sharding strategies in PostgreSQL and MongoDB for scalability.
- 🔗 Developing APIs with FastAPI and integrating data pipelines.
| Cloud | Data Engineering | Databases | Analytics / Monitoring | Other |
|---|---|---|---|---|
| AWS | Airflow | PostgreSQL | Grafana | Docker |
| GCP (basic) | Lambda | Redshift | Quicksight | Git |
| Azure (basic) | Kafka | Snowflake (basic) | Streamlit | Linux |
| Cron Jobs | BigQuery (basic) | FastAPI |
“Turning data into actionable insights, one pipeline at a time.”