Ben T. Email & Phone Number

San Francisco, California

• Built and managed global org of 50+ engineers at 0% attrition; projected, owned, and stayed within $27MM budget• Integrated 4,000+ SORs (35B+ messages/day) via Confluent Kafka, comprising 40+ highly reliable, scalable patterns• Executed multi-year contracts with key vendors including Confluent and Snowflake, negotiated unique concessions• Directly delivered $19.5MM+ in cost savings (OCOGs & OpEx); enabled >$50MM in new & incremental revenue• Shrunk hot storage by 75%; increased manufacturing efficiency by 37% using stream processing & real-time analytics• Built reusable patterns to for integration and stream processing (Kafka & Flink), achieved adoption across company• Accelerated integration deployment from 12 to 2,000 per year via standardization, reusable CI/CD workflows, docs• Delivered eight talks at Confluent & Snowflake conferences; deployed GraphQL APIs on Snowflake, Kafka, & Flink• Hired a Quality leader to deploy QMS framework, build QA team, and ensure global regulatory compliance by design• Established RFC & ADR processes; standardized ops & security models for GitHub, AWS, Confluent, & Snowflake

San Francisco, California

• Built and managed global org of 30+ engineers at 0% attrition; fostered core skills across teams increasing capacity• Developed unified ingest architecture with schema evolution predicated on Kafka; delivered production ML pipelines• Oversaw design, deployment of, and migration to lakehouse architecture predicated on Confluent Kafka & Snowflake• Built config-driven deployment of observability & incident mgmt; enabled scalable, follow-the-sun operational model • Defined availability platform-wide, enabled its measurement and observability, allowing for establishment of SLAs• Delivered push-based ELT via self-service publication to Kafka; deployed DSR APIs & DR for GDPR compliance• Oversaw data platform deployments for business-critical migrations to cloud (US/EU); drove platform collaborations• Completed POCs: Kafka, Flink, Prefect, Druid; consolidated tooling: integration/streaming, VC, CI/CD, orchestration• Converted 11 critical, long-term contractors; helped draft and execute favorable agency MSA amendment with CLO• Absorbed Database Eng; won new internal customers; filed patent on always-on, self-healing data reconciliation

San Francisco, California

• Designed, contributed to, and oversaw successful deployment of Kinesis Data Firehose for data lake ingress• Ingress architecture enabled: user delete, exception handling, disaster recovery, reduced latency, DDL deduplication• Designed and oversaw implementation of automated data quality tests against SOR; oversaw reporting migration• Worked with cross-functional team to develop data use case source system selection criteria (warehouse vs. lake)• Eliminated key-person risk in data infrastructure with exhaustive documentation and graphical information index• Designed, developed, and implemented novel “closed-loop” behavioral analytics framework (single source of truth)• Absorbed oversight of Data Eng; hired additional data engineers; restructured BI organization under new manager

San Francisco, California

• Partnered with Engineering Director to design and build data lake and data warehouse using serverless ETL• Produced analyses and decks for pharma deals & diligence process; contributed to multiple research publications• Hired three additional BI analysts and absorbed oversight of data science; brought data team under Engineering org

San Francisco, California

• Developed ETLs, SQL schemas, and BI assets to support all data customers; administered RDS & Tableau Server• Implemented runbook automation to coordinate ETL and data delivery processes across production environments• Developed and executed on 12-month data roadmap; hired additional BI analyst; enabled clinical research initiatives

San Francisco, California

• Member of strategic task force with C-Suite behind successful conversion to subscription model from free product• Developed statistical churn definition in Python; deployed Python service to power Tableau dashboards on Netezza• Implemented time series KPI forecast model in Python to advise operational budgeting and goal setting via Tableau• Developed standardization and fuzzy match system in Python to incorporate third-party data into data warehouse

Raleigh-Durham, North Carolina Area

• Proposed and implemented Tableau; expanded user base from one to 25+ users across three teams and the C-suite• Published end-user accessible data sources combining raw data from disparate systems; automated existing reporting• Performed strategic financial analysis with Tableau, SQL, and Python; built functional revenue forecast model• Delivered key insights using polished, interactive dashboards; briefed C-suite for BoD meetings and earnings calls• Managed, checked, common-sized, and compared financial models from the IB syndicate that underwrote the IPO

Raleigh, North Carolina

• Deployed SQL Server & Tableau Server to leverage CRM data for fundraising, deal sourcing, portfolio monitoring• Developed custom Salesforce objects for portfolio company compliance tracking, catching numerous violations• Conducted due diligence on private companies; projected financials and modeled transactions including LBOs• Administered Tableau Server, SQL Server, Salesforce; hired consultants; hired, trained, and managed eight interns• Established relationship with NC State’s Data Analytics Dept.; delivered guest lectures to hundreds of grad students