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Vetted Amazon EMR Professionals
Pre-screened and vetted.
Mid-Level Software Engineer transitioning to Data Engineering
Junior Data Engineer specializing in cloud data pipelines and streaming
Senior Machine Learning Engineer specializing in MLOps and Generative AI on AWS
Mid-level Machine Learning Engineer specializing in NLP and AWS data pipelines
Mid-level Machine Learning Engineer specializing in Generative AI, LLMs, and MLOps
Senior Full-Stack Software Engineer specializing in cloud microservices and data platforms
Junior AI Engineer specializing in distributed ML pipelines and time-series forecasting
Mid-Level Software Engineer specializing in full-stack and cloud-native systems
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Mid-level Data Engineer specializing in cloud data pipelines and full-stack analytics
Senior Product Manager / Project Manager specializing in data platforms, BI, and cloud transformation
Mid-level Data Engineer specializing in AWS data platforms and streaming pipelines
Vijay Kumar
Mid-level Cloud/DevOps Engineer specializing in AWS automation and CI/CD
“AWS Cloud DevOps Engineer focused on production Linux environments, building secure CI/CD pipelines (Jenkins/GitHub) to deploy Dockerized services to AWS ECS and automating infrastructure with Terraform/CloudFormation. Strong in operational troubleshooting and scaling (CloudWatch-driven performance remediation, Auto Scaling/ELB, multi-AZ HA patterns), but explicitly does not have IBM Power/AIX or PowerHA/HACMP experience.”
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 Data Scientist specializing in Generative AI, RAG systems, and MLOps
Senior Cloud Software Engineer specializing in AWS microservices and DevOps
Junior Data Engineer specializing in cloud ETL/ELT and lakehouse platforms
Sai Krishna Sriram
Mid-level Generative AI & ML Engineer specializing in production LLM and RAG systems
“AI/ML engineer who shipped a production blood-test report understanding and personalized supplement recommendation product, using a LangGraph multi-agent pipeline on AWS serverless with OCR via Bedrock and RAG over vetted clinical research. Also built end-to-end recommender system pipelines at ASANTe using Airflow (ingestion, embeddings/features, training, registry, batch scoring/monitoring) with KPI reporting to Tableau, with a strong focus on safety, evaluation, and measurable reliability.”
Althaf Shaik
Senior Software Engineer specializing in cloud-scale distributed systems and data platforms
“LLM/RAG-focused engineer who repeatedly takes agentic workflows from impressive demos to dependable production using rigorous evals, SLOs, and deep observability. Has led high-impact incident mitigation (22-minute MTTR during a major sale) and developer enablement workshops, and partnered with sales to close a $410k ARR enterprise deal with a tailored RAG pilot (FastAPI/pgvector/Okta/InfoSec-ready).”