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Vetted Tableau Professionals

Pre-screened and vetted.

PK

Mid-level AI/ML Data Engineer specializing in data pipelines, MLOps, and LLM/RAG systems

6y exp
MetaPace University
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AJ

Senior Revenue Operations & GTM Strategy Leader specializing in analytics and commercial operations

San Francisco, CA8y exp
PlanetColumbia University
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HR

Senior Data Analytics & Applied ML Engineer specializing in LLMs, RAG, and MLOps

India6y exp
AmazonSan José State University
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BG

Mid-level Machine Learning Engineer specializing in MLOps and scalable ML pipelines

Charlotte, NC5y exp
AppleMarist College
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SG

Mid-level AI/ML Engineer specializing in multimodal and generative AI at scale

San Francisco, CA6y exp
MetaWilmington University
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AP

Finance transformation leader specializing in FP&A, analytics, and shared services

Philadelphia, PA18y exp
Goldman SachsWestern Michigan University
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LK

Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI

San Francisco, CA6y exp
StripeUniversity of Texas at Dallas
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SV

Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices

5y exp
Fidelity InvestmentsUniversity of Texas at Arlington
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YC

Intern Business Analyst specializing in product analytics and business intelligence

Taipei, Taiwan0y exp
Dell TechnologiesColumbia University
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TT

Director of Renewals & Customer Success specializing in Enterprise SaaS

10y exp
OktaUniversity of Denver
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RC

Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms

Richardson, TX8y exp
ToyotaTexas A&M University
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KG

Junior UX/UI Engineer specializing in mobile prototyping and agentic commerce

Campbell, CA2y exp
Consumer ReportsCarnegie Mellon University
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PF

Senior Data Engineer specializing in BI Analytics and AI/ML

Lighthouse Point, FL11y exp
DropboxJacksonville University
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DS

Junior AI/ML Engineer specializing in agentic AI and cloud optimization

Cupertino, CA1y exp
AdvantisUC San Diego
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DS

Game Design Director specializing in live ops modernization and AAA/mobile game design

Menifee, CA23y exp
Jam CityIndiana University
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SN

Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare

Remote, USA5y exp
StripeKent State University

AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).

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PM

Senior Strategy & GTM Leader specializing in GenAI commercialization and enterprise SaaS growth

Spring, TX15y exp
HPEUniversity of Minnesota

GTM/Revenue Operations-style leader who rebuilt a company’s go-to-market motion at IFS Loops while running cross-functional execution across Sales, CS, Product, and Marketing. Implemented an executive operating system (cadences, Notion dashboards, decision logs, briefing packets) that cut urgent escalations ~40% and freed 20–30% of CEO/CRO time, while delivering a pricing launch that drove >10% ACV uplift and improved activation/retention.

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JT

Justin Turner

Screened

Executive Technology Leader (CTO/CIO/CISO) specializing in cloud, security, and data platforms

Tampa, FL29y exp
OnMedTampa Technical Institute

CTO-level technology leader with experience building end-to-end tech strategy and roadmaps, modernizing legacy environments in healthcare (GenesisCare), and scaling engineering into large global teams (Amadeus). Built a DevOps organization at Syniverse for the Visibility Suite, implementing Kubernetes/Terraform/Chef automation that drove ~75% faster deployments, and is known for staying hands-on (including data center work) while leading strategically.

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DB

Director-level Manufacturing Operations leader specializing in electromechanical, MEMS, and biotech production

Emeryville, CA11y exp
BrukerDartmouth College

Operations/manufacturing leader who owned post-acquisition integration end-to-end, including site consolidation, technical transfer, and business systems alignment—delivering a 15-month multimillion-dollar program on time and 10% under budget. Experienced scaling a company from ~30 people to ~10x growth and driving public-company operational readiness; partnered with the CAO and external auditors to improve controls and remove quarterly shutdowns, increasing manufacturing capacity ~10% without added headcount.

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JG

Jianing Gu

Screened

Junior Digital Marketing Specialist specializing in social media growth and performance marketing

Los Angeles, CA2y exp
Ocean Elite Restaurant ManagementUSC

Growth-creative marketer with hands-on paid social and short-form video experience across restaurant and beauty (Tom Ford Beauty). Runs structured creative experiments (Meta A/B ad sets, Meta Pixel conversion tracking) and adapts strategy to platform behaviors (TikTok comments vs IG sharing). Has led creators/editors and drove a reported 100% ROAS lift on a Valentine’s Day TikTok ads iteration.

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SS

Shuju Sun

Screened

Mid-Level Software Engineer specializing in real-time data pipelines and ML deployment

PA, USA4y exp
VanguardUSC

Ticketmaster data engineer who built CDC-driven Kafka pipelines feeding Snowflake for analytics and data science teams. Hands-on in production operations—scaled Kafka during sudden playoff-driven transaction spikes and improved monitoring for preemptive scaling. Known for using small-batch experiments and quantitative metrics to align stakeholders and drive cost-saving architecture changes (e.g., buffering to reduce AWS Lambda invocation frequency).

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WL

winston lo

Screened

Junior Software Engineer specializing in AI agents, RAG, and full-stack development

Remote2y exp
Tresle AIUC Berkeley

Backend engineer who built and iterated a secure, multi-tenant RAG system over a large document corpus, emphasizing strict RBAC/ACL isolation, hybrid retrieval (vector+keyword), reranking, and strong observability to balance relevance, latency, and cost. Also led production refactors/migrations using strangler + feature flags/dual writes and has experience catching subtle real-world failure modes (including in a sensor calibration optimization pipeline).

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