Skills & Expertise
I love building data systems that make a real difference. Whether it's optimizing pipelines, creating dashboards, or connecting different systems together, I focus on making data work for people, not the other way around. My approach is pretty straightforward - I combine technical know-how with a practical understanding of how data actually gets used in the real world.
Real Results
Here are some concrete ways my work has helped teams:
- Cut processing time by 67% by optimizing our data pipeline and running things in parallel
- Got our data accuracy up to 99.8% with better validation checks
- Helped clinical teams make decisions 40% faster with better dashboards
- Automated 85% of our manual processes to save time and reduce errors
Data Engineering & Pipeline Architecture
Python
Implementation of data processing frameworks and performance optimization
Rust
Building data processing tools with focus on performance-critical components
SQL
Optimization of complex queries across MySQL, PostgreSQL, MSSQL, and AWS Redshift
Database Architecture
Design of scalable database schemas with appropriate indexing strategies
ETL System Design
Architecture of resilient data pipelines with idempotent processing capabilities
Data Visualization & Analytics
Power BI
Development of performance-optimized dashboards with DAX measures
Tableau
Implementation of visualization systems with guided analytics
Looker
LookML modeling for reusable metric definitions
AWS QuickSight
Cloud-native visualization with SPICE optimization
Pandas & NumPy
Vectorized data operations and memory-optimized transformations
Geospatial Visualization
Interactive mapping solutions for spatial relationships
Cloud & Distributed Systems
AWS
Architecture of data solutions leveraging S3, Lambda, RDS, and Redshift
Apache Airflow
Orchestration of data workflows with dependency management
DBT
Implementation of transformation frameworks with testing and documentation
API Architecture
Design of API integration patterns with error handling
Message Queuing
Implementation of asynchronous processing systems
Geospatial & GIS
ArcGIS
Development of geospatial analysis systems
QGIS
Implementation of open-source GIS solutions
LiDAR Processing
Analysis of point cloud data for topographic modeling
Remote Sensing
Processing and analyzing multispectral imagery
Spatial Databases
Design and optimization of spatial data repositories
Automation & Systems Integration
Process Automation
Design of workflow systems with decision logic
IoT Integration
Development of sensor monitoring networks
Data Validation Frameworks
Implementation of validation systems with rule engines
System Architecture
Design of integrated technical ecosystems
Simulation Systems
Development of computational models for scenario testing
Continuous Growth & Exploration
I'm always learning and exploring new ways to solve data problems. Right now, I'm excited about:
Garden Automation
Building a smart garden system that uses sensors to help my plants grow better. It's a fun way to apply data engineering to something I care about!
Event-Driven Systems
Playing around with Apache Kafka and similar tools to build systems that handle real-time data better. It's fascinating how these patterns can make data flow more smoothly.
Game Design
Studying how game systems handle data and state - there's a lot we can learn from game design about managing complex systems!
Natural Language Processing
Learning more about NLP to help extract insights from text data. It's amazing how much useful information we can find in unstructured text!