Brendan White

Professional Journey

Work Experience

Tech Lead

OXYgean

Dubai, UAE (Remote)

Oct 2025 – Present

Architected and led the development of cloud-native, event-driven backend services using Python/Scala and Kafka, supporting high-throughput data ingestion and processing for critical analytics and operational workflows.

Key Achievements:

• Established comprehensive platform standards for reliability and operability, including service templates, centralized logging/metrics/tracing, SLOs, and runbooks, fostering a healthy production culture
• Led Kubernetes-based production deployments and refined release practices using GitOps-style workflows and CI/CD automation (GitHub Actions), improving deployment consistency and speed
• Implemented Infrastructure as Code with Terraform for repeatable, secure provisioning of cloud resources (AWS), enforcing least-privilege access controls and secrets management
• Designed data modeling and transformation patterns using dbt and modern data warehouse/lakehouse architectures, incorporating built-in data quality checks to increase trust in outputs
• Drove performance and cost optimization across data pipelines and APIs through query tuning, partitioning strategies, caching, and autoscaling policies, reducing operational costs by ~20%
• Mentored and unblocked engineers through design reviews, pairing, and technical documentation, raising overall engineering quality and collaboration
• Developed and maintained effective logging and debugging practices for both server-side and distributed systems, significantly reducing mean time to resolution (MTTR)

Senior Data Engineer

WP Engine

Austin, TX (Remote)

Jan 2023 – Oct 2025

Led a large-scale dbt refactoring and optimization initiative, improving data reliability, reducing technical debt, and accelerating analytics delivery by 35% for cross-functional teams.

Key Achievements:

• Designed, built, and migrated legacy ETL pipelines from Fivetran/Stitch to custom Python-based data pipelines, reducing costs by 40% while increasing performance, flexibility, and maintainability
• Developed and maintained scalable data pipelines integrated with Ruby on Rails applications, enabling reliable, real-time data ingestion for business-critical systems
• Deployed and operated production data workloads on GCP using Kubernetes and Docker, ensuring high availability, scalability, and fault tolerance for enterprise clients
• Automated cloud infrastructure provisioning using Terraform, standardizing development and production environments and improving deployment consistency by 60%
• Implemented robust data quality monitoring and observability with Monte Carlo, proactively detecting anomalies and improving data trustworthiness for stakeholders
• Designed and implemented a custom AI agent leveraging LLMs to augment internal data and engineering workflows, improving developer productivity by 25% and accelerating troubleshooting
• Integrated incident management and alerting with PagerDuty and Slack, improving on-call efficiency and embodying a sane, balanced on-call culture
• Coached engineers through weekly technical talks, mentoring team members on modern data engineering best practices, system design, and tooling

Full Stack Engineer

Tunnl Exchange

Miami, FL (Remote)

Oct 2023 – May 2025

Contributed to the design and development of a hybrid CEX/DEX trading platform, combining off-chain performance with on-chain settlement for secure and scalable digital asset trading.

Key Achievements:

• Implemented an off-chain order book and microservices-based matching engine in Python, enabling low-latency trade execution while maintaining blockchain transparency
• Built cross-chain and fiat on/off-ramp functionality by integrating Circle payment services, enabling seamless asset bridging and fiat-to-crypto transactions
• Integrated decentralized liquidity and protocol interactions including Uniswap, ParaSwap, and Sablier, supporting token swaps, streaming payments, and optimized liquidity routing
• Developed ERC-20 token deposit and withdrawal workflows, supporting both on-chain deposits and card-based (credit/debit) funding for a seamless user experience
• Designed and implemented event-driven microservices for blockchain log ingestion, transaction tracking, and settlement reconciliation using Kafka
• Deployed and operated backend services on AWS (EC2, Lambda, EKS), leveraging containerization (Docker) and serverless architectures for optimal scalability and cost efficiency
• Wrote efficient tests and established tight feedback loops for both frontend components and backend services, ensuring code quality and reliability

Backend Engineer

Hashcash Consultants

Palo Alto, CA (Remote)

Feb 2020 – Dec 2022

Developed and maintained blockchain data ingestion pipelines using Python, Web3.py, and Ethereum JSON-RPC, enabling near real-time extraction of on-chain transactions and smart contract events.

Key Achievements:

• Built scalable ETL pipelines with Apache Airflow, dbt, and PySpark, transforming raw blockchain data into structured, analytics-ready datasets for Web3 platforms
• Optimized real-time on-chain data streaming using Kafka and AWS Kinesis, supporting low-latency processing for analytics and monitoring applications
• Designed and implemented high-performance data partitioning and storage strategies in Snowflake and Delta Lake, reducing query latency by ~50% on large datasets
• Engineered on-chain data indexing and query layers, leveraging BigQuery Ethereum datasets and custom GraphQL APIs for efficient data access and exploration
• Built backend data services and models powering AI-driven dashboards and predictive analytics for blockchain trends, token flows, and network activity
• Automated CI/CD pipelines for data platforms using Terraform, CloudFormation, Docker, and Kubernetes, improving deployment speed, consistency, and reliability
• Deployed and operated containerized data services across hybrid cloud environments (AWS, GCP, Azure), ensuring scalability and high availability
• Designed and optimized large-scale blockchain data pipelines using Azure Data Factory, Databricks, and Apache Spark for distributed processing

Backend Engineer

Optum

Eden Prairie, MN (Remote)

Dec 2016 – Jan 2020

Engineered and maintained backend data pipelines to ingest, transform, and store healthcare operational and performance data, supporting automated enterprise workflows.

Key Achievements:

• Designed and optimized backend data models, schemas, and fact tables in SQL databases to ensure efficient storage, query performance, and long-term system scalability
• Built backend data services and APIs delivering near–real-time datasets for internal healthcare platforms and downstream system integrations
• Developed SQL- and Python-based backend processing services to support automated healthcare reporting, analytics, and operational workflows
• Implemented reliable backend pipelines to process program performance, experimentation, and operational metrics, ensuring data accuracy, traceability, and consistency
• Automated end-to-end backend workflows using Zoho Flow, Zoho Creator, and n8n, integrating healthcare operational systems securely and efficiently
• Reduced manual operational effort by 43% through backend automation, data validation, orchestration, and standardized processing pipelines
• Deployed and orchestrated backend ETL services using Apache Airflow and AWS Lambda, enabling scalable, fault-tolerant data processing
• Implemented CI/CD pipelines for backend services using GitHub Actions, Jenkins, and Docker, improving deployment reliability while maintaining compliance standards

Backend Engineer

Zappos

Las Vegas, NV

May 2013 – Dec 2016

Engineered and maintained backend data ingestion and transformation pipelines from OLTP/OLAP databases, SQL sources, and Salesforce, ensuring data consistency and integrity across e-commerce systems.

Key Achievements:

• Implemented backend data processing and analytics logic to identify purchasing patterns and sales trends, improving conversion workflows by 12%
• Developed backend forecasting and demand-processing pipelines supporting sales, churn analysis, and inventory planning, reducing stockouts by 17%
• Exposed curated datasets through backend APIs and data access layers, enabling internal tools, reporting platforms, and operational decision-making
• Automated backend reporting and data refresh workflows, delivering timely and reliable datasets for leadership and operational teams
• Enabled customer lifecycle and retention systems by building backend data integrations supporting segmentation and personalization, contributing to a 23% increase in customer retention
• Collaborated closely with cross-functional marketing, finance, operations, and customer success teams to design backend data solutions aligned with core e-commerce business workflows
• Developed solid fundamentals in database design, SQL query optimization, and backend service architecture to support high-volume e-commerce transactions
• Gained extensive experience in shipping features rapidly within a fast-paced, customer-centric Agile environment

Senior Full Stack Engineer

My Arsenals 💪

Languages & Frameworks

Cloud & DevOps

Database & Middleware

Testing & Tools

Professional Journey

Work Experience

Tech Lead

Key Achievements:

Senior Data Engineer

Key Achievements:

Full Stack Engineer

Key Achievements:

Backend Engineer

Key Achievements:

Backend Engineer

Key Achievements:

Backend Engineer

Key Achievements:

Academic background

Education

Bachelor of Computer Science

Certifications

AWS Certified Solutions Architect – Associate

Oracle Certified Professional, Java SE 8 Programmer

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