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Vetted Data & Analytics Professionals
Pre-screened and vetted.
Popular Titles
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Data Engineer specializing in cloud data pipelines and streaming analytics
Mid-level Data Engineer specializing in AI/ML, streaming, and lakehouse architectures
Senior Business Analyst / QA Lead specializing in cloud, security, and enterprise testing
Mid-level Data Engineer specializing in AWS data platforms and streaming pipelines
Senior Private Equity & Growth Equity Analyst specializing in M&A and fundraising
Senior Data Engineer specializing in AWS-based data pipelines and multi-tenant SaaS
Director of Architecture & Data Engineering specializing in enterprise data platforms
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.”
Dhanush Chandra Sekhar
Junior Data Engineer specializing in data pipelines and streaming ingestion
“Backend/data platform engineer who owned a near-real-time patient feedback ingestion system, building a FastAPI + Kafka service with Snowflake/Airflow orchestration. Demonstrates strong production Kubernetes/GitOps practices on AWS EKS (Helm, Argo CD, Sealed Secrets) and solved real-time data integrity issues via idempotent processing with Redis.”
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.”
Othmane Benyoucef
Executive AI & Data Engineering Leader specializing in LLM, RAG, and agentic AI systems
“Founder of a consultancy for 14 years with extensive experience managing multiple clients and projects simultaneously. Interested in leveraging AI to solve operational challenges and is seeking exposure to the venture capital/studio/accelerator ecosystem despite no direct VC experience.”
Hemant Deshmukh
Mid-level Data Engineer specializing in cloud data pipelines and analytics engineering
“Built and deployed a production LLM-powered demand and churn forecasting system for an e-commerce client, combining open-source LLMs (LLaMA/Mistral) and Sentence-BERT embeddings to generate business-friendly explanations of forecast drivers. Strong focus on data quality and model trust (validation, baselines, segmented monitoring) and production reliability via Airflow-orchestrated pipelines with readiness checks, retries, and ongoing drift/A-B testing.”
Mid-level Data Scientist specializing in ML, data engineering, and real-time analytics
Mid-level Data Scientist specializing in Generative AI, RAG systems, and MLOps
Mid-level Cloud Data Engineer specializing in multi-cloud data platforms and analytics
Mid-level QA & Data Processing Engineer specializing in sports motion capture and gaming platforms
Mid-level Data Engineer specializing in FinTech and AI-ready data platforms
Mid-level Data Analyst specializing in BI, ETL, and cloud analytics