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Vetted ETL Pipelines Professionals
Pre-screened and vetted.
Staff Full-Stack Engineer specializing in cloud-native e-commerce and FinTech platforms
Mid-Level Software Engineer specializing in cloud-native microservices and fraud detection
Mid-level ML Engineer specializing in production NLP, forecasting, and anomaly detection
Mid-level AI/ML Engineer specializing in NLP, recommender systems, and MLOps in financial services
Senior Software Engineer specializing in backend systems and LLM-powered products
Senior AI/ML Engineer specializing in LLM applications, RAG, and MLOps
Senior AI & Cloud Engineer specializing in GenAI and data platforms
Mid-level Data Engineer specializing in Azure data platforms and near real-time pipelines
Mid-level Data Analyst specializing in financial analytics and regulatory reporting
Junior business analytics consultant specializing in data, finance, and performance insights
Senior Full-Stack Software Engineer specializing in AI and cloud-native SaaS
Senior Software Engineer specializing in backend, data, and cloud systems
Mid-level Python Developer specializing in cloud-native FinTech platforms
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines
Deeksha V
Mid-Level Software Engineer specializing in cloud data platforms and FinTech payments
“Backend engineer focused on financial systems, having evolved payments and reconciliation platforms using Python/FastAPI and PostgreSQL with an emphasis on idempotency, validation, and consistency. Has led monolith-to-services migrations using feature flags and shadow traffic, and implements defense-in-depth security (OAuth2/JWT plus DB-level row security) for multi-tenant environments.”
Rafael Ortega
Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems
“Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.”