Mason Taylor // staff data engineer. data platforms at work, games & apps at home.

summary

Staff Data Engineer who owns the data foundation at Teragonia and leads its Data Engineering Center of Excellence. A decade of experience across data engineering, analytics, BI infrastructure, AI/ML and cybersecurity, from a Fortune 50 enterprise to early-stage startups. Responsible end to end for ingestion, warehousing, modeling, the semantic layer and BI, with a focus on governance, quality, security and availability. Broad business and technology background spanning product management, sales, value creation, mentorship, recruiting and entrepreneurship. Driven to deliver efficient, effective insight while enabling intuitive self-service.

experience

1. Teragonia Chicago, IL · remote

   01/2026 – nowStaff Data Engineer

   Own the data foundation and lead the Data Engineering Center of Excellence behind Teragonia's AI-powered Value Orchestration platform, which turns fragmented operational data at PE-backed, mid-market portfolio companies into real-time, execution-focused intelligence for operators and sponsors.

   • Data Foundation: own every data platform end to end, from ingestion, warehousing and modeling to the semantic layer and BI infrastructure, and lead the data engineers who build and run it
   • Data Systems Architecture: head data systems architect, designing, programming and setting technical direction across data platforms. Built to stand up a new portfolio company quickly and scale across a sponsor's entire portfolio
   • Astradis Platform: own the data foundation serving Astradis products, including Ontology, Knowledge Graph, Talk2Astra, DMA and DFA, spanning finance, sales, pricing, marketing, operations and field service data
   • BI Infrastructure: own the BI platform end to end: tool selection, multi-tenant deployment, the semantic layer, access control and performance, so operators and sponsors get self-service, decision-grade data
   • Governance, Quality & Security: set data governance, data quality and access standards; monitor pipeline health, freshness and availability; keep every client's data secure and isolated across tenants
   • Product Management: own the roadmap for the data platform and the data behind Astradis, turning needs from clients, operators and internal teams into a prioritized backlog and shipped capabilities
   • Business Development: part of the sales process for new engagements, from technical discovery and solution scoping to presenting the platform to prospective sponsors and portfolio companies, to land deals
   • Client Delivery: drive rapid speed-to-delivery on high-profile client engagements, then keep the pipelines running after the initial SoW
   • Vendor Management: manage data and BI vendor relationships
   • People Leadership: manage, advise, recruit and hire data engineers
   07/2024 – 01/2026Lead Analytics Engineer

   • Data Engineering CoE: led development of data engineering and programming standards
   • Multi-tenant BI Overhaul: led evaluation and rollout of a scalable, multi-tenant BI platform
   • Visualization Standards: managed the visualization pod that set standards for dashboards and data visualization
   • Data Ingestion Pipelines: built modular data ingestion pipelines for both ETL and rETL
   • AI Solutions: built AI solutions for extraction and validation of unstructured data
   • Data Platform Architecture: designed an architecture of best-in-class tools for an end-to-end analytics pipeline
   • Vendor Management: ran data and BI tool evaluations, POCs and vendor relationships

2. CYDERES remote

   04/2022 – 07/2024Senior Analytics Engineer

   • Analytics Stack Rearchitecture: built a new architecture for the BigQuery, Spanner and Looker stack, improving scalability and performance of insight delivery to ~300 customers
   • Analytics Admin: managed access, deployments, data models and changes across the Looker and GCP analytics environment for internal and external analytics
   • SIEM Collectors: developed Chronicle, Splunk and Sentinel collectors feeding a universally compatible data model
   • CRM Migration: lead engineer; built the collectors, data model, ETLs and Book of Business reporting, keeping data available and accurate through the transition
   • Onboarding Automation: built Python automation to deploy analytics environments for new customers
   • Daily Summary Cases: built Python automation aggregating cases across Siemplify and Jira into daily summaries
   • MITRE and Cyclops Analytics: built full-stack analytics pipelines for displaying MITRE and Cyclops data to customers
   • Portal Analytics: integrated Google Analytics into the data model to measure portal usage and guide portal development
   • Cloud Cost: integrated cost data from GCP, AWS and Azure into a common data model for cost analysis
   • Customer Sentiment Model: built an LLM tool to categorize customer feedback and identify trends
   • White Glove External Analytics: worked with customers on custom analytics solutions, from requirements and scrum planning to deployment
   • Annual Codeathon: 1st place in 2022 and 4th place in 2023
   • Onboarding, training and mentorship for new hires and junior developers

3. ConocoPhillips Bartlesville, OK

   03/2021 – 04/2022Data Analytics, Operations & Production

   • Cost Management System: BI lead through the full lifecycle of a 3-year project unifying cost data across 8 business units, including Alaska, Australia, Canada, Indonesia and the Lower 48 (Bakken, Eagle Ford, Permian)
   • Low Carbon Technology: built the analytics program for a new business unit; analytics lead for GCCC and USGS CCUS mapping and emissions volumetric data, and BI lead for Net Zero MACC
   • PS&O: analytics lead for the Production Surveillance & Optimization global program
   • Australia Competency Tracking: analytics lead for OE Express
   • Innovation Challenge 2021: machine learning challenge owner and mentor
   • Founding member of the Data Science Community of Practice; member of the BI Community of Practice
   • Lead recruiter for Georgia Tech and Oklahoma State University; PRIDE Employee Network professional development chair
   07/2019 – 03/2021Data Analytics, Global Production

   • Global Production Analytics: set the analytics strategy that founded the program; stood up the Global Production Data Warehouse on Teradata, the Global Production Analytics Portal and global BI standards
   • Fractionation Process Optimization: anomaly detection and predictive modeling as the program's process optimization data scientist
   • Cloud & Tooling: AWS cloud streaming analytics POC, analytics tool evaluations and POCs, ServiceNow data migration
   • Maintenance & Reliability: analytics lead for maintenance and reliability KPIs
   • Innovation Challenge: challenge owner and mentor of the 1st-place team in 2019 (IoT streaming analytics in GCP) and 2020 (machine learning model to predict flood zones)
   • Analytics Bootcamp: organized and delivered BI training for all new hires
   • Chair (2020) and co-chair (2019) of the Data Analytics Development Board of Directors; PRIDE Employee Network communications and professional development chair
   12/2018 – 07/2019Data Analytics, Projects Analytics

   • Anomaly Detection: cleaned and modeled sensor data for a time-series statistical model, and built a Spotfire tool for model evaluation
   • Streaming Analytics Cloud POC: designed and implemented a streaming analytics architecture in Azure, built for anomaly detection and scalable to all of Global Production
   • Data Modelling: developed DDLs for several data warehousing projects, including ServiceNow data
   • Built a prototype peer recognition site for the AI Center of Excellence; maintained reporting in Power BI, SSRS and Spotfire
   12/2017 – 11/2018Data Engineer, Strategy, Engineering & Technology

   • Full-Stack Analytics: requirements, ETLs, data modeling, visualization, publication and maintenance
   • Data Modeling: data models for large exploration, production, financial and market data sets, with ETLs into the data warehouses and sanitation for integrity and consistency
   • Training: developed and ran training programs on the company's analytics tools
   • Campus recruiting and on-site interviews; Innovation Challenge communications chair
   05/2016 – 11/2017Cybersecurity Analyst

   • Security Monitoring & Response: triaged and tuned security alerts across logs reporting into Splunk; Tier I and II incident response
   • Data Loss Protection: tested and deployed DLP across the organization, and built the process for responding to DLP alerts as primary responder
   • Penetration Testing: helped develop and deploy the internal penetration testing process
   • Security Engineering: evaluated DLP, endpoint protection and AV tools; ran performance testing and endpoint protection upgrades across servers and end-user machines
   • Metrics & Awareness: reported key security metrics to leadership weekly; managed the Splunk instance and built security dashboards and alerting; ran security awareness presentations
   • Earned the Rapid7 Network Assault Certification; top 5 in an API hackathon

4. Earlier 2014 – 2016

   08/2015 – 05/2016Sparkbits Project Lead · Beardon Services

   • Led the creation of Sparkbits, a new branch focused on web development and technical solutions for local businesses
   • Built the CRM system and sales process, from cold calls to closing, and negotiated and closed sales
   • Web development and graphic design for customers
   summers 2014, 2015Information Management Intern · Williams

   • F&A Support IM CoE (2015): upgraded and decommissioned F&A applications, databases and servers; report performance prediction ML project; UAT for new financial application environments
   • Information Security & Risk Management (2014): information security incident response, functionality testing on the Flow-Cal NGL measurement system, business analysis tooling and security awareness media

key achievements

skills

languages

SQLPythonLookMLRGoTerraform

ai

Claude CodeClaude SkillsClaude DesignMCPTypeSafe / JevOpenAIGeminiSnowflake CortexLLM PipelinesAgentic AutomationLoop Engineering

data

Data ArchitectureData EngineeringData ModellingData GovernanceData QualityData ScienceMachine LearningStatistica

platforms

SnowflakeDatabricksBigQuerySpannerTeradatadbtAirflowAirbyteSparkInformatica

bi

SigmaLookerPower BISpotfireOmniLightdash

cloud & ops

GCPAWSAzureSigNozGrafana

security

CybersecuritySIEMEDRDLPPen-TestingIncident ResponseDisaster RecoveryCrowdStrikeDigital GuardianChronicleSplunkSentinelSiemplify

leadership

LeadershipProduct ManagementMentorshipTeam BuildingCommunicationAgileJira

certifications

• SAFe 5 Scrum Master · Scaled Agile, Inc.
• Lean Six Sigma Yellow Belt (ICYB) · Georgia Tech Supply Chain and Logistics Institute
• Rapid7 Network Assault Certification · Rapid7

education

• 2021 – 2025M.S. in Analytics · Georgia Institute of Technology, Atlanta, GA
• 2012 – 2016BSBA in Management Information Systems: Information Assurance · Oklahoma State University, Stillwater, OK