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Vetted Data Engineers in Missouri
Pre-screened and vetted in Missouri.
Gopi Anne
Mid-level AI/ML Engineer specializing in fraud detection and Generative AI
Hariprasad Manchikatla
Mid-level AI/ML Engineer specializing in cloud data platforms and generative AI
Mounika Ullam
Mid-level Data Engineer specializing in lakehouse platforms and healthcare data
Mounika S
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Kamal Ede
Mid-level Data Engineer specializing in cloud data platforms, Spark, and streaming pipelines
“Data/MLOps engineer (Cognizant background) who owned an AWS/Airflow/Snowflake healthcare transactions pipeline processing ~8–10M records/day and cut pipeline/data-quality incidents by ~33%. Also built and deployed a production FastAPI model-inference service on Kubernetes (Docker, HPA) with strong observability (Prometheus/Grafana), versioned endpoints, and resilient backfill/idempotent external data ingestion patterns.”
Bhupesh Bandi
Mid-level Generative AI Developer specializing in LLM agents and RAG systems
Rohith Bommishetti
Mid-level Generative AI Engineer specializing in RAG, LLMOps, and enterprise decision intelligence
Sireesha Allu
Senior Data Engineer specializing in AWS and Snowflake lakehouse platforms
Sridharan Kairmaknoda
Mid-level Data Engineer specializing in cloud data platforms and real-time analytics
“Customer-facing data engineering professional who builds and deploys real-time reporting/dashboard solutions, gathering reporting and compliance requirements through direct stakeholder engagement. Experienced with Google Cloud IAM governance, secure integrations (encryption, audit logging), and fast production troubleshooting of ETL/pipeline failures with follow-on monitoring and automated recovery improvements; motivated by hands-on, travel-oriented customer work.”
Jyothiraditya Garikipati
Mid-level Data Engineer specializing in cloud ETL/ELT and real-time streaming