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Vetted Elasticsearch Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend, DevOps, and cloud infrastructure
Mid-level Full-Stack .NET Developer specializing in Angular, Azure, and AI integrations
Senior Full-Stack Developer specializing in Python, Django, React, and cloud-native SaaS
Mark Wlodawski
Senior Unity Developer specializing in AI/LLM systems and multiplayer VR
“Backend/data engineer focused on AWS-native Python systems: built a FastAPI microservice on ECS/Fargate serving real-time analytics at millions of daily requests with strong reliability (OAuth2/JWT, retries/timeouts, correlation IDs) and autoscaling. Also delivered Glue/PySpark ETL pipelines to curated S3 Parquet/Athena with schema evolution + data quality controls, owned Airflow pipeline incidents, and has a track record of measurable performance and cost optimizations (e.g., ~80%+ query latency reduction; reduced logging/NAT/Fargate spend).”
Jyothiraditya Madina
Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT
“Candidate has hands-on experience at Cognizant building production-grade automation and integration solutions across Python ML services, Java microservices, Kafka, and Selenium-based UI testing. They stand out for a strong reliability mindset—covering failure modes, observability, flaky test hardening, and translating ambiguous payment-system business processes into resilient end-to-end automated workflows.”
Prudhvi Avula
Senior Full-Stack Software Engineer specializing in Java, React, and distributed systems
“Implementation and AI workflow engineer who has owned customer deployments end-to-end for messaging/integration platforms and also built production-oriented LLM systems. Stands out for combining stakeholder-facing delivery leadership with hands-on experience in Kafka/MongoDB integrations, RAG/agent architectures, and resilient document-processing pipelines with strong validation and fallback controls.”
Principal Software Architect specializing in Healthcare IT and cloud-native systems
Engineering Leader & Principal Software Engineer specializing in cloud-native SaaS
Mid-level Full-Stack Developer specializing in cloud-native web applications
Junior Software Engineer specializing in backend systems, DevOps, and cybersecurity tooling
Senior Backend Engineer specializing in cloud-native microservices and AI integrations
Senior Full-Stack Software Engineer specializing in healthcare and e-commerce platforms
Senior Business Analyst / QA Lead specializing in cloud, security, and enterprise testing
Senior Full-Stack Engineer specializing in Python and AWS-native application development
Mid-level AI/ML Engineer specializing in financial risk, NLP, and MLOps
Director-level Mobile & Full-Stack Software Engineer specializing in Android and cloud-native apps
Executive Engineering Leader (CTO/SVP) specializing in high-load platforms and GenAI/LLM systems
Executive Engineering Leader specializing in Product, Mobile, and SaaS platforms
Rachana Ramesh
Mid-Level Software Engineer specializing in backend microservices and cloud-native systems
“Full-stack TypeScript engineer who has owned a real-time workflow/communication platform end-to-end in production (Node/TS + React, Postgres/Redis, Kafka, Docker/CI/CD). Demonstrates strong distributed-systems pragmatism—designing for failure with retries, DLQs, idempotency keys, and atomic writes—plus operational practices like structured logging, monitoring, and zero-downtime deployments.”