Technologies I Use

Primary language for data pipelines, APIs, and automation

Type-safe JavaScript for full-stack web applications

Systems programming for performance-critical tooling

Concurrent services and CLI tooling

Batteries-included Python web framework for rapid development

High-performance async Python APIs with automatic docs

Component-based UI for interactive web applications

Full-stack React framework with SSR and API routes

Workflow orchestration for complex data pipelines

Distributed processing for large-scale data transformation

SQL-based data transformation and modeling layer

Real-time event streaming and data integration

Serverless ETL service for discovering and preparing data

Cloud data warehouse for analytics at scale

Serverless interactive query service for S3 data

Cloud ETL/ELT service for data integration and transformation

Unified stream and batch data processing service

Managed Spark and Hadoop service for big data processing

Managed Apache Airflow service on Google Cloud

Data flow automation and real-time data streaming

Distributed NoSQL database for high availability workloads

Real-time analytics database for event-driven data

Data exploration and visualization platform

Business intelligence and analytics tool

S3-compatible high-performance object storage

Open-source data integration and ELT platform

Data orchestration and asset-based pipeline tool

Enterprise Apache Kafka platform for data streaming

Production relational database for structured data

In-memory cache and message broker for fast lookups

Containerization for consistent deployment environments

Statistical models and predictive analytics

Neural network architectures for complex pattern recognition

Deep learning framework for research and production

Version control for code collaboration and history

Server administration and shell scripting

Terminal-based code editor for fast keyboard-driven development