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Vetted Apache Airflow Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in AI and cloud-native SaaS
Mid-level Data Engineer specializing in healthcare analytics and AI pipelines
Senior Full-Stack .NET Engineer specializing in cloud, APIs, and data platforms
Mid-level AI/ML Engineer specializing in Generative AI and fraud detection
Senior Data Engineer specializing in cloud data platforms and real-time streaming pipelines
Mid-level Data Engineer specializing in financial data engineering and scalable pipelines
Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines
Senior Business Systems Analyst specializing in FinTech, insurance, and data analytics
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.”
Senior Software Engineer specializing in backend microservices and data platforms
Nithin Reddy
Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures
“Built and maintained an internal JavaScript/React real-time event monitoring UI used by multiple Goldman Sachs teams (e.g., Private Wealth Management and Bulk Trading Systems). Focused on scaling performance under hundreds of events/sec—using profiling, memoization, batching, and debouncing—and paired it with strong internal documentation and disciplined incident diagnosis via synthetic load testing and logs/metrics.”
Pranit Chetta
Senior Full-Stack Java Engineer specializing in cloud-native AI and enterprise platforms
“Full-stack product engineer who owned a live-events digital ticketing platform end-to-end, including blockchain-based ticket validation and high-traffic booking flows. Stands out for combining Angular/React frontend work with Java/Spring Boot backend architecture, plus strong production reliability practices around concurrency control, queues, observability, and UX optimization.”
Senior Software Engineer specializing in full-stack distributed systems and AI
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Senior Data Engineer specializing in multi-cloud data platforms and generative AI
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Senior Software Engineer specializing in backend systems and data pipelines
Executive product and technology leader specializing in AI, data platforms, and cloud transformation
Krishnapriyanka Ponnaganti
Mid-level AI/ML Engineer specializing in agentic AI and production ML systems
“ML/AI engineer with hands-on experience shipping production computer vision and GenAI systems, including a fabric defect detection platform that combined vision models with agentic LLM workflows to reach 89% human-inspector agreement at 200 ms latency. Also built a RAG-based code QA tool for developers and emphasizes production monitoring, evaluation, caching, and reusable Python service design.”