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Vetted Amazon EMR Professionals
Pre-screened and vetted.
Mid-level Backend/Data Engineer specializing in AWS data pipelines and scalable services
Director-level Data Engineering Leader specializing in AI/LLM platforms and real-time data systems
Mid-level Machine Learning Engineer specializing in MLOps, RAG, and real-time personalization
Senior Data & ML Engineer specializing in big data platforms and marketing/ads ML
Mid-level Machine Learning Engineer specializing in MLOps and Generative AI
Staff AI & Data Engineer specializing in LLM systems and real-time data platforms
Pavanika Thotakura
Senior Data Engineer specializing in cloud big data pipelines and real-time streaming
“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”
Zheng Wu
Junior Software Engineer specializing in backend systems and cloud messaging
“Data/ML engineer who has owned end-to-end systems across email deliverability/segmentation and production LLM apps. Built a Spark+Airflow segmentation engine that materially improved deliverability (99.9%) and open rates (>50%), and shipped a PDF-to-quiz RAG product using LangChain/Vertex AI/Chroma with strong guardrails and an eval loop that cut hallucinations to <5%.”
Jehanzeb Khan
Director-level Engineering Manager specializing in large-scale data and compute platforms
“Platform and distributed-systems leader (player-coach) who owned architecture and reliability for an Amazon analytics/data platform serving ~100K internal users at exabyte scale. Built an ML-driven “Lakeflow” optimization layer that cut pipeline completion times ~20–25% and reduced compute waste >15%, and led major incident response/redesign efforts (e.g., deletion storm) with strong rollout/observability/rollback practices.”
Christopher Khan
Senior Software Engineer specializing in Python, cloud platforms, and distributed systems
“Backend/data engineer with production experience at Walmart and HealthSnap building Python services and data pipelines on AWS (EKS, Lambda, Glue, Airflow). Strong reliability and operations focus—implemented idempotency + circuit breakers for peak-traffic consistency issues, GitOps CI/CD, and observability. Demonstrated measurable performance wins (Postgres p95 45s to <5s, ~60% CPU reduction) and modernized SAS batch workflows to Python with parallel-run parity validation and feature-flagged rollout.”
Mid-level Machine Learning Engineer specializing in deep learning, MLOps, and real-time inference
Mid-level Python Developer specializing in cloud data engineering and ETL/real-time pipelines
Mid-level Python Full-Stack Developer specializing in FinTech and real-time data/ML systems
Mid-level Data Engineer specializing in AWS ETL and data warehousing
Mid-Level Software Development Engineer specializing in AWS serverless, security, and ML platforms
Mid-level Machine Learning Engineer specializing in recommender systems and LLM/RAG pipelines