Primary platform
AWS
Serverless data lakes, query-in-place analytics and event-driven processing.
- S3
- Glue
- Athena
- Lambda
- RDS
- QuickSight
- CloudWatch
Cloud Engineer · Derivatives Trader · Quant Systems
Cloud engineering and quant systems for futures and forex.
I build cloud data platforms on AWS, Snowflake, Databricks and Azure, and I trade derivatives with quant systems I design myself across futures and forex. The same engineering discipline runs both: automated, tested and monitored.
Cloud & quant track record
60%less manual processing
40%faster queries
2.5Sharpe ratio system
Cloud & markets
AWS
Snowflake
Databricks
Azure
CME Futures
Forex
About
A cloud engineer and a derivatives trader.
I'm a cloud engineer with more than six years in cloud data architecture, ETL development and database administration. At Imperium I architect Snowflake environments on AWS and build the pipelines that feed the business.
I'm also a funded derivatives trader with over 15 years in the markets. I design and run quant systems across futures and forex derivatives, from Nasdaq 100 futures on CME Globex to USD currency pairs: research, backtesting, execution and live monitoring.
Both disciplines reward the same thing: fast, reliable, well-monitored systems. I love optimizing them.
6+years in cloud & data
15+years trading derivatives
2.5Sharpe ratio system
Cloud expertise
The right platform for each workload
Security, cost control and monitoring are designed in from the start, not added later.
4+ years
Snowflake
Administration, RBAC design, continuous ingestion and automated tasks.
- SnowSQL
- Snowpipe
- Streams
- Tasks
- RBAC
3+ years
Databricks
Spark development and tuning, lakehouse patterns at scale.
- PySpark
- Spark SQL
- Delta
- Lakehouse
Multi-cloud
Azure & GCP
Orchestrated pipelines on Azure and analytics on BigQuery.
- Data Factory
- Dataflows
- Functions
- BigQuery
ETL & orchestration
Apache Airflow, Spark, Python and Linux scripting, multi-source integration.
Storage & modeling
Parquet, SQL and NoSQL databases, lakehouse and serverless architectures.
Production operations
On-call rotations, incident response, performance analysis and SDLC documentation.
Quant systems & derivatives
Systematic trading across futures and forex
15+ years trading derivatives with funded and institutional capital. I build the full quant stack myself, from data pipelines and backtests to execution and live monitoring.
Futures
Nasdaq 100 & index futures
Systematic futures strategies on CME Globex, including a low-drawdown system with a 2.5 Sharpe ratio and a custom block trading system on Quantower.
- CME Globex
- NQ / MNQ
- Quantower
- CTS Trader
Forex
USD currency pairs
Algorithmic systems for USD forex pairs, researched and backtested on clean historical data before going live.
- USD majors
- Systematic
- Backtesting
- Risk controls
Infrastructure
Quant data & signal platform
Where the cloud work meets the trading: market data pipelines, backtesting databases, signal delivery and real-time performance monitoring.
- Python
- SQL
- Pandas
- Cloud data
Projects & portfolio
Selected work
Open-source repositories and production case studies. Filter by platform and open any card for details.
Open sourceServerless Data Lake on AWS
A scalable data lake that catalogs files with Glue, stores them in S3 and serves analytics with Athena.
Architecture
- Raw and curated zones in S3
- Glue crawlers maintain the data catalog
- Athena runs serverless SQL directly on the lake
Open sourceSnowflake Optimization Suite
Analysis and performance work on transaction data stored in Snowflake.
Highlights
- Transaction analysis with SQL and Python
- Query and warehouse tuning patterns
Open sourceSQL + Data Architecture
SQL and Python for analysis, visualization and dashboards across banking, real estate and salary data.
Highlights
- Airflow-orchestrated workflows
- Domain dashboards built from cleaned datasets
Open sourceQuant Analysis Toolkit
High-performance data pipelines, backtests and quantitative analysis tools for market data.
Highlights
- Backtesting framework for systematic strategies
- Market data ingestion and feature pipelines
Case studySnowflake Platform & RBAC
Architected and maintain Imperium's Snowflake analytics environment with role-based access and automated ingestion.
Outcome
- RBAC and user management best practices
- Schemas, views, pipes, streams and tasks
- 40% faster query response after tuning
Case studyMulti-source ETL Automation
Pipelines that integrate several source systems at Imperium, built with an automation-first approach.
Outcome
- 60% reduction in manual processing
- Monitoring and reporting on pipeline health
Trading systemNasdaq 100 Futures System
Low-drawdown systematic strategy for Nasdaq 100 futures, traded with institutional capital on CME Globex.
Results
- 2.5 Sharpe ratio
- Executed via CTS Trader with institutional capital
- Custom block trading system built on Quantower
In developmentForex Algorithmic Systems
Algorithmic strategies for USD currency pairs, built on the same research and backtesting pipeline as the futures work.
Approach
- Historical data ingestion and cleaning
- Walk-forward backtests before live trading
- Position sizing and drawdown controls
Case studySignal Delivery Platform
AG Wolf Capital's infrastructure for generating, validating and delivering algorithmic signals to institutional and retail clients.
Highlights
- Backtesting and signal-generation databases
- Real-time signal performance monitoring
- Data validation for automated delivery
Experience
Career
Feb 2023 – PresentRemote
Data & AWS Cloud Engineer
Imperium · Tampa, FL
- Architect and maintain cloud analytics solutions, including Snowflake environments with RBAC best practices.
- Design ETL pipelines for multi-source integration, cutting manual processing by 60%.
- Database performance analysis and tuning that improved query response times by 40%.
- Partner with Executive, Product and Data teams on architecture; mentor teammates on database best practices.
Aug 2012 – PresentRemote
Founder, Derivatives & Alternative Investments
AG Wolf Capital · San Francisco, CA
- Boutique signal service delivering proprietary algorithmic signals to institutional and retail clients.
- Built reporting databases, backtesting infrastructure and real-time signal monitoring.
Apr 2019 – Apr 2023Remote
Derivatives Trader
FC Stone-League Trading · Chicago, IL
- Traded Nasdaq 100 derivatives with institutional capital; low-drawdown system with a 2.5 Sharpe ratio on CME Globex.
- Tuned financial reporting databases, reducing report generation time by 30%.
Blog
Notes from the pipeline
Practical writing on cloud data engineering, warehouse tuning and where markets meet data.
Contact
Cloud platforms or quant systems, let's talk.
Open to cloud engineering roles, consulting, and quant and trading-technology projects across futures and forex. Send a note and I'll reply within a day or two.
