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Vetted Data Governance Professionals
Pre-screened and vetted.
Senior Platform/DevSecOps Engineer specializing in Kubernetes and secure cloud platforms
Executive engineering leader specializing in robotics, embedded systems, and defense AI products
Senior Product Manager / Project Manager specializing in data platforms, BI, and cloud transformation
Mid-level Data Engineer specializing in cloud data pipelines and streaming analytics
Senior Program Manager specializing in data governance, audit readiness, and analytics
Senior Azure DevOps / SRE Engineer specializing in cloud infrastructure automation
Mid-level Data Engineer specializing in AI/ML, streaming, and lakehouse architectures
Senior Business Analyst / QA Lead specializing in cloud, security, and enterprise testing
Rich Robinson
Executive CTO and VP Engineering leader specializing in SaaS, AI, and cloud platforms
“Repeat founder/CTO with hands-on experience raising capital from friends and family, angels, corporate sources, federal grants, private equity, and venture capital. Built a startup in a software business incubator, later sold the company, and went on to serve as an Engineering Manager at the acquirer inside the Plug and Play accelerator ecosystem.”
Mahesh Ponnam
Mid-level Data Scientist specializing in credit risk, fraud detection, and ESG analytics
“AI/LLM practitioner who has deployed production chatbots across e-commerce, HRMS, and real estate, focusing on retrieval-first workflows for factual tasks like product and property search. Optimized intent understanding and significantly improved latency by using lightweight embeddings and tuning the inference pipeline on Groq (Llama 3.3), while applying modular orchestration and measurable production evaluation.”
“Built and operated end-to-end legal-document data pipelines fed by hundreds of scraper sources, emphasizing data quality validation, reliability (CloudWatch monitoring/alerting, retries, backfills), and serving enriched legal data via serverless AWS APIs (Lambda/API Gateway). Experienced in keeping API contracts stable with additive versioning practices and shipping MVPs quickly with CI/CD and observability in place.”
bharath burgoju
Mid-Level Data Engineer specializing in cloud data pipelines and big data platforms
“Data engineer with ~4 years of experience building Python-based data ingestion/processing services and real-time streaming pipelines (Kafka/PubSub + Spark Structured Streaming). Has deployed containerized data applications on Kubernetes with GitLab CI/Jenkins pipelines and applied GitOps to cut deployment time ~40% while reducing config drift. Also supported a legacy on-prem data warehouse/backend migration to GCP using phased migration and parallel validation to meet strict reliability/SLA needs.”
Mid-level Data Scientist specializing in ML, data engineering, and real-time analytics
Mid-level Cloud Data Engineer specializing in multi-cloud data platforms and analytics
Mid-level AI/ML Engineer specializing in cloud-native data pipelines and RAG systems
Principal Power Platform Architect specializing in Microsoft 365 and federal enterprise solutions
Director-level Product & Data Platform Leader specializing in AI, cloud data, and enterprise governance
Senior Data Scientist / AI-ML Engineer specializing in LLMs, NLP, and MLOps
Senior Data Scientist and Machine Learning Researcher specializing in NLP, LLMs, and MLOps
Senior Product Marketing & Research Strategist specializing in AI-enabled GTM for SaaS and Real Estate
VAISHNAVI KOTHAMIRKAR
Mid-level Business Analyst specializing in banking, pharma, and enterprise systems
“Analytics professional with hands-on experience spanning enterprise supply chain data and workforce analytics. They’ve worked on a Manhattan Active WMS implementation for a pharmaceutical client integrating MAWM, JD Edwards, and Boomi, and also built SQL/Python/Tableau solutions for BankUnited/FIU to standardize retention and engagement reporting. Strong fit for roles requiring messy data wrangling, KPI operationalization, and stakeholder-trusted dashboards.”