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Vetted Data Pipelines Professionals
Pre-screened and vetted.
Ryan Sojan
Junior Software Engineer specializing in backend, data pipelines, and automation
“Software engineer with hands-on experience building a distributed ticketing system on AWS (Terraform, Go, MySQL) focused on high-concurrency reliability (locks/queues to prevent duplicate ticket confirmations) and load-tested performance. Also independently owned and shipped an Airflow automation script to stop/restart workflows during deployments with email notifications, reducing manual operational effort.”
Sarthak Vinayaka
Mid-Level Full-Stack Software Engineer specializing in enterprise AI, data pipelines, and scalable APIs
“Forward-deployed engineer/tech lead who built an end-to-end demand planning and forecasting application for a major US steel manufacturer, integrating Snowflake data into the C3 platform with batch/MapReduce workflows, monitoring, and a React/TypeScript UI. Also productionized an enterprise LLM integration with structured outputs and authorization guardrails, reporting +30% stakeholder engagement and broad adoption across customer deployments.”
Janvitha Mandyam
Mid-level GenAI/ML Engineer specializing in LLM applications and RAG systems
“GenAI/LLMOps practitioner who deployed a production RAG-based customer service and knowledge retrieval system for a global bank using LangChain, FAISS/Azure Cognitive Search, GPT-4/Claude, and Guardrails—driving a reported 35% Q&A accuracy lift while reducing handle time and escalations. Also partnered with non-technical leaders at CVS Health to deliver ML-driven supply chain risk and inventory insights via anomaly detection, NLG summaries, and stakeholder-friendly dashboards.”
Prashant Singh
Mid-level Backend/Platform Engineer specializing in data pipelines, reliability, and AI-assisted ingestion
“Backend engineer who built and scaled a blockchain-based e-voting platform at early-stage startup Elemential Labs, balancing decentralization with real-world operability by centralizing control-plane components while keeping the ledger immutable. Has hands-on experience migrating high-throughput ingestion from Kafka to AWS Kinesis with parallel cutover, strengthening data integrity and read-after-write consistency (Elasticsearch), and hardening pipelines against silent data-quality failures via anomaly detection and self-healing automation.”
Mid-Level Full-Stack Software Developer specializing in cloud-native microservices and web apps
Junior Full-Stack Engineer specializing in blockchain, cloud, and data platforms
Mid-Level Software Engineer specializing in Java/Spring microservices and real-time data systems
Mid-level Machine Learning Engineer specializing in production AI/ML systems and full-stack development
Junior Data Infrastructure Software Engineer specializing in distributed pipelines and AI extraction
Senior Data Scientist specializing in GenAI, fraud/credit risk, and cloud MLOps
Mid-level Software Developer specializing in Java, Spring Boot, and microservices in Healthcare and FinTech
Junior Software Developer specializing in IoT data pipelines and automation
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and risk/fraud analytics
Mid-level Robotics Software Engineer specializing in computer vision and motion planning
Director of Data Platform Engineering specializing in scalable pipelines and observability
Director-level Software Quality & Performance Engineering leader specializing in cloud and AI/ML validation
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and financial risk analytics
Mid-Level Full-Stack Python Developer specializing in FinTech and data-driven web apps
Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud-native FinTech
Mid-Level Full-Stack Software Engineer specializing in FinTech and Retail Analytics
Senior Full-Stack Software Engineer specializing in cloud-native SaaS, FinTech, and Healthcare IT