Data Engineering Made Simple
Expert data infrastructure solutions without the vendor lock-in
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Services
Data Infrastructure Assessment
Comprehensive evaluation of your current data stack with clear, actionable recommendations for improvement.
- Identify bottlenecks and performance issues
- Security and best practices review
- Cost optimization opportunities
- Scalability assessment
Data Warehouse Optimization
Performance tuning and cost optimization for PostgreSQL, Snowflake, and MSSQL environments.
- Query performance improvements
- Schema design optimization
- Storage cost reduction
- Scalability best practices
Apache Airflow Implementation
End-to-end design and deployment of production-ready Airflow environments.
- Custom DAG design patterns
- Self-managed or MWAA setup
- Pipeline monitoring and alerting
- CI/CD integration
Modern ELT Pipeline Development
Design and implementation of efficient, testable data pipelines using dbt, Python, and modern tools.
- Scalable extraction patterns
- Transformation with dbt
- Data quality testing
- Documentation and lineage
Fractional VP of Data Services
Part-time data leadership providing strategic direction and hands-on technical guidance.
- Data strategy development
- Team structure and hiring guidance
- Technology selection
- Regular strategy reviews
Data Engineering Training
Customized training and mentorship to upskill your technical team on modern data engineering practices.
- Airflow best practices
- dbt modeling techniques
- Data quality testing
- Python for data engineering
Why Choose Me
Technical Excellence
Deep expertise in Python, SQL, and modern data tools, with a focus on production-ready implementations that follow best practices.
Vendor-Agnostic Solutions
Focus on open-source technologies where possible, creating flexible architectures that avoid lock-in and prioritize cost-effectiveness.
Collaborative Approach
I work alongside your team, prioritizing knowledge transfer and documentation to ensure your team can maintain and extend the solution.
My Process
Discover
Understanding your business objectives and current data landscape
Design
Creating a solution that meets immediate needs and enables future growth
Implement
Hands-on approach ensuring quality implementation with regular updates
Transfer
Knowledge transfer and documentation to ensure your team's success