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Vetted Data Visualization Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in systems, networking, and biomedical software
Mid-level Data Analyst and Business Analyst specializing in BI, reporting, and analytics
Mid-level Data Analyst specializing in analytics, BI, and data engineering
Junior business analytics consultant specializing in data, finance, and performance insights
Intern data and technology analyst specializing in analytics and IT systems
Senior Machine Learning Engineer specializing in AI, NLP, computer vision, and GenAI
Entry-level data analyst specializing in social science and nonprofit analytics
Entry-level policy and research analyst specializing in public affairs and outreach
Mid-level Software Engineer specializing in full-stack systems, AI, and cybersecurity
Mid-level Full-Stack Software Engineer specializing in type-safe systems
Director-level Paid Social & Search Strategist specializing in entertainment and e-commerce growth
Senior Customer Success Manager specializing in Enterprise SaaS retention and AI enablement
Senior Unity & Unreal Developer specializing in AR/VR and immersive solutions
Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)
Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines
Senior Business Systems Analyst specializing in FinTech, insurance, and data analytics
Emmanuel Ngalima
Mid-Level Software Engineer specializing in geospatial AI and cloud security automation
“Cloud engineer and cloud OS SME (Chevron) who productionized large-scale security remediation—using Tanium and Ansible to address CIS benchmark noncompliance across 5,000+ servers with robust logging and RCA handoffs. Also drives adoption of a geospatial AI refinery inspection product by consolidating siloed imagery into an enterprise geospatial database, and presents internally on agentic/LLM tooling (LangChain/LangGraph, LangSmith observability).”
Mounika Nadendla
Senior Data Engineer specializing in cloud data platforms and real-time streaming
“Data engineer focused on building reliable, production-grade data systems end-to-end: batch and real-time pipelines (Airflow/Kafka/Spark) with strong data quality, monitoring/alerting, and incident response. Has experience integrating external API/web data with retries, throttling, and schema-change handling, and serving curated datasets to analytics (Power BI) and backend consumers with performance optimizations like Redis caching.”