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Vetted Data & Analytics Professionals in Remote
Pre-screened and vetted in Remote.
Popular Titles
Mid-level Data Engineer specializing in healthcare data platforms and streaming CDC pipelines
Senior Data Scientist specializing in Generative AI and NLP
Mid-level Data Scientist specializing in NLP, MLOps, and cloud-deployed ML systems
Mid-level Data Engineer specializing in streaming pipelines and cloud data platforms
Senior Data Scientist specializing in marketing analytics, attribution, and revenue forecasting
Mohan Naik Megavath
Mid-level Data Engineer specializing in real-time pipelines and cloud data platforms
“Backend engineer with hands-on experience building secure Python/Flask services (sessions, JWT, RBAC) and optimizing PostgreSQL/SQLAlchemy performance, including custom SQL using CTEs/window functions profiled via EXPLAIN ANALYZE. Also integrates LLM features via OpenAI/Azure into backend systems and improves scalability with RabbitMQ-driven async processing, caching, and multi-tenant data isolation patterns.”
Hrishikesh Raghunath
Mid-level Data Engineer specializing in scalable ETL, streaming analytics, and cloud data platforms
“At Dreamline AI, built and productionized an AWS-based incentive intelligence platform that uses Llama-2/GPT-4 to extract eligibility rules from unstructured state policy documents into structured JSON, then processes them with Glue/PySpark and serves results via Lambda/SageMaker/API Gateway. Designed state-specific ingestion connectors plus schema validation and automated checks/alerts to handle frequent policy/format changes without breaking the pipeline, and partnered with business/analytics stakeholders to deliver interpretable eligibility decisions via explanations and dashboards.”
Mid-level Data Engineer specializing in financial risk, compliance, and real-time streaming
Data Analyst and Software Developer specializing in cloud data pipelines and BI dashboards
Mid-level Data Scientist specializing in credit risk, NLP, and ML platforms
Mid-level Data Analyst specializing in healthcare and financial services analytics
Mid-level Data Scientist specializing in GenAI, LLMs, and MLOps
Mid-level Data Scientist specializing in AI/ML for finance and investment analytics
Mid-level Data Engineer specializing in Azure ETL/ELT and telecom analytics
Mid-level Marketing Data Analyst specializing in AI-driven campaign optimization
Mid-level Data Scientist specializing in LLMs, RAG, and ML systems for finance and healthcare
Mid-level Data Analyst specializing in BI, Snowflake, and financial and healthcare analytics
Junior Customer Success Business Analyst specializing in B2B SaaS analytics and retention
BHEEMA SABILLA
Mid-level Data Engineer specializing in Lakehouse, Streaming, and ML/LLM data systems
“Built and productionized an enterprise retrieval-augmented generation platform for internal knowledge over large unstructured corpora, emphasizing trust via strict citation/grounding and hybrid retrieval (BM25 + FAISS + cross-encoder re-ranking). Demonstrates strong scaling and cost/latency optimization through incremental indexing/embedding and index partitioning, plus disciplined evaluation/observability practices. Has experience operationalizing pipelines with Airflow/Databricks/GitHub Actions and partnering closely with risk & compliance stakeholders on auditability requirements.”
Sathvika Meka
Mid-level Data Analyst specializing in BI, analytics, and healthcare data
“Analytics professional at Optum with hands-on experience turning messy healthcare claims data from SQL, Excel, and CRM systems into validated reporting datasets and Power BI dashboards. They also built reproducible Python workflows for claims analysis and owned an end-to-end project focused on improving claims processing efficiency through metric design, segmentation, and stakeholder-driven operational improvements.”
Junior Data Analyst and Software Engineer specializing in SQL, Python, and ML