Architected a governed, real-time data platform on ClickHouse, Kafka, Django, and Kubernetes, centralizing player, transaction, and reporting data into a trusted source of truth for finance, product, and operations
Modernized executive finance reporting into a production, SQL-first pipeline, reconciling sports betting, manual adjustments, wallet balances, and test players across ClickHouse, OpenSearch, and Google Sheets
Established analytics governance and lineage with dbt-managed ClickHouse layers, semantic metadata, PII classification, and OpenLineage patterns, making business logic auditable and reported metrics trustworthy
Operationalized product data delivery with profile-archive, backfill, and downstream flows across OpenSearch, S3, ClickHouse, and rewards services, enabling historical replay, safer rollouts, and CI/CD
Staff Data Engineer, E-commerce & Law
Sept 2020 - Present
TNOR
Remote
Architected an enterprise-scale streaming platform (Kafka/Kinesis) processing 20k+ events/second, powering real-time ML feature stores that drove product decisions
Designed a high-performance search architecture with distributed vector search (FAISS + ChromaDB), achieving 100x faster telemetry retrieval for real-time anomaly detection
Pioneered self-service analytics through RAG systems and MCP servers, eliminating 80% of ad-hoc reporting requests and giving non-technical stakeholders direct data access
Migrated ML systems from MongoDB to PostgreSQL with zero downtime, improving query performance 75% across 50+ services
Owned cloud platform architecture with infrastructure-as-code (Terraform) for EKS, Lambda, and Step Functions, reducing deployment time 90% via GitHub Actions
Software Engineer, Data Platform
May 2021 - Feb 2024
Dollar Shave Club
Marina Del Rey, CA
Led an enterprise analytics platform transformation, migrating from Databricks/Scala to AWS EMR/Python, cutting operational cost 80% while improving query performance 10x for 100+ users
Redesigned the ETL ecosystem with Apache Airflow, AWS EMR, and dbt, automating 500+ daily workflows at 99.9% uptime for critical business reporting
Drove $10M in revenue impact through marketing analytics, integrating Braze CRM with Tableau to improve customer acquisition cost 40% and retention 25%
Scaled real-time infrastructure for D2C operations with a production Kafka/Spark streaming platform for personalization and inventory optimization
Data Technician
March 2019 - Sept 2020
Oculus - Contract
Menlo Park, CA
Analyzed IMU data with robotics and spatial tracking to identify key performance metrics
Created and maintained local ETL pipelines for data cleaning and processing
Utilized Jupyter Notebooks to explore and visualize data, producing actionable insights
Leveraged Google Cloud Platform (GCP) to manage and visualize back-end data, streamlining collaboration
Data Scientist
Jan 2020 - May 2020
Charles Schwab
San Francisco, CA
Implemented customer-segmentation strategies to guide executive-level decision-making
Automated data extraction and labeling pipelines using NLP tools
Produced interactive visualizations with D3, Tableau, and matplotlib
Engineered directed and undirected graphs to optimize web-scraping operations
Performance Analyst
June 2017 - Dec 2017
NVIDIA - Intern
Santa Clara, CA
Scripted automated data aggregation for performance testing, reducing manual overhead
Pioneered networking techniques for massive server farm management
Benchmarked C++ and Python frameworks across various hardware setups to ensure optimal performance
Developed a LAMP stack front end to analyze and compare multiple project roadmaps