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Vetted ELT (Extract, Load, Transform) Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in real-time streaming and ML feature pipelines
Mid-level Generative AI Engineer specializing in LLM agents and production AI workflows
Mid-level Data Engineer specializing in real-time analytics and FinTech data platforms
Executive IT Leader specializing in enterprise architecture, digital transformation, and M&A integration
Senior AI/Software Engineer specializing in multi-agent LLM orchestration and data engineering
Mid-level Data Scientist specializing in GenAI, LLM orchestration, and MLOps
Senior Support Engineer specializing in AI Search, LLMs, and Document Intelligence
Senior Data Scientist specializing in marketing analytics, attribution, and revenue forecasting
Junior Full-Stack Software Engineer specializing in data-driven web apps and cloud platforms
Senior ETL/Data Engineer specializing in cloud data platforms and AI/ML-ready pipelines
Senior Data Engineer specializing in AWS serverless and real-time data platforms
Mid-level Data Engineer specializing in cloud lakehouse and streaming platforms
Mid-level Data Engineer specializing in cloud lakehouse pipelines and analytics datasets
Mid-level Data Engineer specializing in healthcare analytics and AI pipelines
Senior Software Engineer specializing in backend platforms and production AI systems
Senior Data Engineer specializing in multi-cloud data platforms and real-time analytics
Mid-level Data Engineer specializing in financial data engineering and scalable pipelines
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.”