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Vetted Amazon Redshift Professionals
Pre-screened and vetted.
Mid-level Backend Software Engineer specializing in AWS serverless and distributed systems
Senior Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms
Mid-Level Software Engineer specializing in AI/ML, cloud deployment, and full-stack systems
Director-level Engineering Leader specializing in scalable cloud platforms and real-time AI systems
Harikrishna Kadari
Mid-level Data Engineer specializing in cloud ETL and big data pipelines
“Data engineer focused on building reliable, production-grade pipelines and data services end-to-end, including a 50+ GB/day pipeline ingesting from APIs/files into Snowflake with PySpark/SQL transformations. Emphasizes strong data quality controls, monitoring/retries, and performance optimization, and has also shipped a Python data API with caching and backward-compatible versioning.”
Pujitha Sangaraju
Mid-Level Embedded Software Engineer specializing in real-time firmware and industrial automation
“Robotics software engineer focused on reliability in real-time sensor pipelines and ROS/ROS2 integration, with hands-on experience hardening systems against noisy data, dropouts, and network variability. Uses ROS introspection tools plus simulation (Gazebo/Webots) to diagnose latency and stability issues before hardware deployment, and supports repeatable rollouts via Docker and CI/CD.”
Mid-level Full-Stack Engineer specializing in healthcare, mobile apps, and AI
Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics
Mid-level Software Engineer specializing in cloud microservices and AI search
Mid-level Data Analyst specializing in BI, reporting automation, and operational analytics
Junior Machine Learning Engineer specializing in healthcare and IT analytics
Mid-Level Software Engineer specializing in full-stack web apps and cloud-native APIs
Mid-Level Backend Engineer specializing in Java microservices and cloud-native systems
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP/RAG
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Senior Full-Stack AWS Developer specializing in cloud-native microservices and serverless systems
kireeti Sangarsh
Mid-level Data Engineer specializing in cloud ELT pipelines and analytics engineering
“Data engineer who has owned end-to-end ELT pipelines on Airflow + AWS (S3/Glue/Lambda) with Snowflake/Redshift, processing millions of records per day and tens of GBs via PySpark. Built strong data quality and reliability practices (40% quality improvement, 99%+ uptime), and also designed a resilient web-scraping system with anti-bot defenses and schema-change versioning plus REST APIs for serving curated data.”
Shyamalan Kannan
Entry-level Software Engineer specializing in backend, AI systems, and full-stack development
“Solo builder of two technically ambitious products: Ghosted, a full-stack job search platform for international candidates navigating H-1B sponsorship data, and ContextForge, a Claude Code marketplace plugin that gives coding agents persistent memory and targeted codebase retrieval. Particularly strong in AI agent infrastructure, retrieval reliability, and end-to-end product ownership, with a fast release cadence and a habit of turning real failure modes into shipped improvements.”
namratha sai
Junior Healthcare Data Analyst specializing in clinical data validation and EHR/claims analytics
“QA/supplier-performance focused candidate who uses defect and delivery data to spot recurring issues early, identify root causes tied to rushed timelines/high workload, and implement practical process changes (e.g., added validation steps and tightened defect definitions). Emphasizes clear, metric-backed communication to align internal stakeholders and suppliers, then monitors post-change results to confirm sustained improvement.”