Christopher E. Lane 849 Corlista Drive San Jose, CA 95128 1-301-270-6524 chris@lane-jayasinha.com Summary: Data and platform engineer with deep experience building production data pipelines, distributed systems, and financial transaction platforms. Built real-time streaming pipelines (Kafka/Spark) processing millions of events daily at PayPal, led cloud data infrastructure migrations, and designed distributed data stores handling billions of requests. Strong background in financial systems, sensitive data handling, and encryption. Some experience in small companies and rapid growth companies with higher scope for responsibility and action. Core Competencies: * Data Pipelines: Designed and implemented Syslog -> Kafka -> Spark -> Druid real-time streaming pipeline for monitoring web/API traffic. Designed and implemented POC migration of legacy batch/ETL jobs (cron-based systems on Hadoop/Teradata clusters) to modern cloud infrastructure. Built tools to analyze and partition large-scale data workloads for containerization. Built filtering pipeline for stock feed for consumer stock alert product. * Distributed Data Systems: Wrote high-performance distributed counting system in Go for rate limiting - achieving 5x throughput per CPU versus other PayPal services. Designed for resilience: randomly stopping half the containers causes only 0.1% service disruption. * Databases & Storage: Extensive experience with SQL (Oracle, Postgres, Sybase, MySQL), NoSQL (MongoDB, Redis), and cloud-native stores (Spanner, S3). Designed in-memory caching layers and protective patterns for backend databases under high load. Built S3 re-encryption and migration tools that completed in 14 hours what AWS support estimated would take weeks. * Cloud Infrastructure: Designed fully automated AWS infrastructure using Terraform/Jenkins/boto3. Built Cloudera CDP deployments. Migrated 70K VMs between environments. Experienced with GCP migration at scale. * AI/ML Deployment: Helped product teams deploy TensorFlow applications to containerized production environments. Experience integrating ML workloads into existing data infrastructure. * Financial Systems: Payment systems development at PayPal - understanding strict reconciliation requirements, transaction integrity, and regulatory compliance in financial data processing. * Data Security & Compliance: Designed encryption protocols and key management systems. Led fleet-wide encryption library upgrades without availability impact. Experience with sensitive data migration and re-encryption at scale - essential skills for HIPAA-compliant medical data handling. * Languages: Go (primary), Python, C/C++, some Java, SQL, R for statistical analysis. Professional Experience: Principal Member of Technical Staff, PayPal Inc. | October 2021 - Present Enterprise Data Platform: Led design of migration plan for legacy batch/ETL workloads (cron jobs, Hadoop clusters, Teradata) to modern cloud infrastructure. Built analysis tools to partition large NFS-based data workloads into containerizable components. Distributed Data Store: Designed and implemented high-throughput distributed counting system in Go for DDOS rate limiting. Achieved highest requests-per-CPU-second of any PayPal application. Built for fault tolerance - 50% container loss results in only 0.1% service disruption. Performance Engineering: Designed sidecar proxy architecture for centralized SSL management. Developed call dependency graph analysis methods for partitioning datacenters into cell-based architecture. Principal Architect, Experian Consumer Services | September 2019 - October 2021 Cloud Data Infrastructure: Designed fully automated AWS infrastructure (Terraform/Jenkins/boto3). Built Go-based transparent proxy enabling flexible network policy enforcement. Created rapid S3 re-encryption and data migration tools. Designed Cloudera CDP deployment for data platform. Team Building: Scaled AWS infrastructure team through hiring and training while maintaining customer service during platform buildout - experience directly applicable to early-stage team growth. Staff Software Engineering, PayPal Inc. | September 2008 - August 2019 Real-Time Data Pipeline: Designed and implemented Syslog -> Kafka -> Spark -> Druid streaming pipeline for real-time monitoring of incoming web/API traffic. Defined requirements for statistically sophisticated monitoring methods. ML Platform Support: Helped product teams deploy TensorFlow applications to Docker-based production environment. Hardened Python stack for server usage including high-load testing frameworks. Data Migration: Migrated 70K production VMs to modern infrastructure. Led encryption library upgrades across fleet without availability impact. Payment Systems: Provided development and operational support for payment processing systems. Deep understanding of financial transaction integrity and reconciliation requirements. Principal Software Engineer, AOL | May 1996 - October 2005 Data Systems: Designed statistically-aware monitoring system using Python/MySQL for data collection and R for analysis. Built data loading server to encrypt 100M passwords without disrupting database operations. Implemented dynamic data migration from flat files to Sybase. Scalable Platform: Architected alerts platform from initial concept to system delivering 6000 alerts/second at peak (10M/day). System ingested live data feeds, matched against user preferences, and triggered configurable actions - early experience with streaming data processing patterns. Education: M.S. Mathematics (In Progress) - San Jose State University, enrolled Fall 2023 B.S. Mathematics - Duke University, 1990 Year Abroad - Oxford University (College Prize for excellence) Patents: US Patents 7,624,172, 7,496,631 & 7,363,345 - Real-time data matching and alerting systems