Data Engineer and Analytics Consultant (Snowflake ❄️ | Power BI 📊)

I am a data engineer and analytics consultant focused on building clear, reliable, cloud native data platforms on Snowflake. My work centres on ELT pipelines with SQL Python and dbt, secure data access and simple patterns that teams can understand and own.

I help organisations move from spreadsheets and legacy warehouses into Snowflake, using staged migrations that include source to target mapping, validation and side by side runs. The goal is always the same, trusted data that is ready for analysis without surprises.

I also design modern data models using dimensional and data vault approaches so that datasets are scalable, auditable and aligned with how the business actually works. On top of this I build Power BI and Streamlit solutions that turn those models into self service dashboards and lightweight apps for day to day decision making.

Everything I build is production focused with performance, governance and cost control in mind.

• ❄️ Snowflake: Warehouse design, data models, performance tuning, Time Travel and secure data sharing
• 🐘 Postgres: Reliable OLTP and analytics data stores with indexing and query tuning
• 🧠 SQL and dbt: Reusable models, testing, documentation and a governed semantic layer
• 🐍 Python: Data pipeline automation, API integration and data quality checks
• ☁️ AWS: Core services for data platforms including S3, IAM and networking foundations
• 🔄 Ingestion with Fivetran and SFTP: Connectors and file based feeds into Snowflake
• 📅 Orchestration with Airflow: Scheduled pipelines, alerting and dependency management
• 📊 Analytics with Power BI and Streamlit: Interactive dashboards and self service analytics for business teams
• 🧪 GitHub: Version control, pull requests, code review and simple CI for data projects

Each solution is designed to be maintainable, scalable and cost efficient.

• Snowflake, DBT, AWS S3, Python, Git & GitHub: Delivering a Data Model for Churn Analysis
• Snowflake, DBT, Python, Git & GitHub: Snowflake Dbt Data Engineering Pipeline
• Python, SQL, Snowflake, AWS S3 & Streamlit: Weather Data Pipeline for Hamburg Sales Insights
• Python, SQL, Snowflake & Streamlit: Credit Card Fraud Detection Using Snowflake ML
• Python, SQL, Snowflake & Streamlit: Financial & Economic Essentials
• Python, SQL, Snowflake & Streemlit: Snowflake Streamlit Smoothie App
• SQL & Power BI: Sales Customer insights Dashboard
• SQL & Power BI: AML Transaction Analysis
• SQL: International-Debt-Analysis-Project