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Vetted Data Warehousing Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in Python/SQL ETL pipelines and analytics enablement
Mid-level Machine Learning Engineer specializing in MLOps, fraud detection, and data security
Senior Full-Stack Software Engineer specializing in cloud microservices and data platforms
Junior Software Engineer specializing in full-stack development and applied ML
Mid-level Data Science & AI/ML Engineer specializing in MLOps, NLP, and computer vision
Mid-level AI Engineer specializing in retail personalization and LLM-powered systems
Senior Data Analyst specializing in BI, data engineering, and predictive analytics
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Senior Product Manager / Project Manager specializing in data platforms, BI, and cloud transformation
Mid-level Data Engineer specializing in cloud data pipelines and streaming analytics
Mid-level Machine Learning Engineer specializing in healthcare and enterprise analytics
Senior Business Analyst / QA Lead specializing in cloud, security, and enterprise testing
Senior Software Engineer / DevOps specializing in cloud-native distributed systems
Senior Data Engineer specializing in AWS-based data pipelines and multi-tenant SaaS
Director of Architecture & Data Engineering specializing in enterprise data platforms
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.”
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React/Angular, and cloud microservices
Director-level Product & Data Platform Leader specializing in AI, cloud data, and enterprise governance
Senior Data Scientist and Machine Learning Researcher specializing in NLP, LLMs, and MLOps