Vetted Tableau Professionals

“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”

“Data engineer who has owned end-to-end ELT pipelines on Airflow + AWS (S3/Glue/Lambda) with Snowflake/Redshift, processing millions of records per day and tens of GBs via PySpark. Built strong data quality and reliability practices (40% quality improvement, 99%+ uptime), and also designed a resilient web-scraping system with anti-bot defenses and schema-change versioning plus REST APIs for serving curated data.”

Marc Mirapeix

Screened

Mid-Level Game Developer specializing in tools, engines, and Unity/Unreal

Andorra, Andorra3y exp

“Unity gameplay developer who implemented a zone-based variable-gravity system for a car/racing game ("Electric Car"), requiring careful physics tuning to keep the vehicle controllable and on-screen. Iterates via repeated playtesting to balance feel and smoothness, and uses AI tools to accelerate debugging and unit test work.”

“Analytics-focused candidate with experience turning messy operational and educational program data into validated reporting assets, dashboards, and AI-ready datasets. They stand out for pairing SQL/Python data preparation with rigorous validation and lightweight NLP on open-ended feedback, driving reported improvements in reporting efficiency, engagement, and student success outcomes.”

“Sports industry candidate with experience supporting professional athletes and NFL prospects through PR, branding, and career-transition conversations, while also building NIL expertise through certifications and study. Demonstrates a thoughtful blend of compliance awareness, athlete/family trust-building, and analytics-driven basketball scouting.”

Adilene Vinalay Tenango

Screened

Junior marketing professional specializing in social media and brand engagement

Remote5y exp

“Early-career candidate with exposure to insurance outreach, retail/event marketing, and social media growth work. Brings hands-on experience with cold calling, stakeholder research, and data-backed messaging analysis, including using Excel and Tableau in a case-study setting to refine outreach strategy.”

“Full-stack engineer with strong TypeScript/Firebase and MongoDB depth who has built research and student-scale systems end-to-end, including GCP data pipelines and Dockerized microservices. Particularly interesting for stepping beyond a frontend remit to build NLP models with NLTK that are actively used in an academic research project's Phase 2, showing initiative and real downstream impact.”

“FAU-based analytics candidate with hands-on academic project experience across SQL data preparation, Python/NLP sentiment analysis, and predictive modeling. They stand out for turning messy datasets into clean reporting tables, building reproducible analysis workflows, and translating findings into practical recommendations around operations, credit risk, and marketing ROI.”

Evet Fernandes

Screened

Junior Full-Stack Software Engineer specializing in web development and data pipelines

Carson, CA2y exp

“Full-stack product builder who has repeatedly designed and shipped production web experiences solo, from a college event platform serving 500+ live registrations to research dashboards and AI-generated GitHub reporting tools. Stands out for combining product judgment, frontend design/build ownership, and calm production debugging under real user pressure.”

“QA/supplier-performance focused candidate who uses defect and delivery data to spot recurring issues early, identify root causes tied to rushed timelines/high workload, and implement practical process changes (e.g., added validation steps and tightened defect definitions). Emphasizes clear, metric-backed communication to align internal stakeholders and suppliers, then monitors post-change results to confirm sustained improvement.”

“Hands-on automation and QA-focused developer using AI agents, MCP tools, and LLMs to streamline business workflows. Built agents for automated Jira bug logging, executive summary dashboards, and a rule-explainer that translates technical business rules into plain language for end users, while also supporting Selenium-to-Playwright migration and guiding peers on AI implementation.”

“Non-traditional hockey background but demonstrates strong transferable skills for athlete guidance: research-driven evaluation, structured planning, and ongoing support. Has proven mentoring results (tutoring improved a student’s Algebra grade from 85 to 93) and relationship-building that contributed to acceptance into a graduate program and completion of a master’s degree.”

“Built and deployed an LLM-powered automation pipeline that ingests voice and documents, transcribes/extracts key information into structured data, and routes it through backend workflows using Python/FastAPI. Uses n8n to orchestrate multi-step AI processes with validation, retries, and monitoring, and iterates with stakeholders via rapid demos to refine changing requirements.”