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Vetted Data Transformation Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in Generative AI and enterprise machine learning
Mid-level Solutions Engineer specializing in cloud data, AI, and healthcare analytics
Senior Software Engineer specializing in high-throughput systems across FinTech, e-commerce, and data platforms
Staff Machine Learning Engineer specializing in Generative AI, MLOps, and Computer Vision
Senior Data Engineer specializing in cloud-scale data pipelines and legal data systems
Senior Machine Learning Engineer specializing in computer vision and healthcare AI
Mid-level Full-Stack Software Engineer specializing in healthcare and cloud systems
Senior Talent Systems & Data Consultant specializing in recruiting analytics, taxonomy, and AI classification
Senior Data Analyst specializing in healthcare and financial analytics
Senior Business Analyst specializing in data analytics and business intelligence
Senior Full-Stack Engineer specializing in React, Next.js, and Healthcare IT
Mid-level Analytics Engineer specializing in dbt, SQL transformation, and Snowflake
Mid-Level Software Engineer specializing in backend microservices and cloud automation
Mid-level Financial Analyst specializing in banking and credit-risk analytics
Mid-level Business Analyst specializing in finance, data analytics, and AI infrastructure
Lalithya Manasa Patri
Senior Data Engineer specializing in cloud ETL and real-time streaming pipelines
“Data engineer with eBay experience owning end-to-end pipelines for real-time order and user behavior analytics at 10M+ records/day. Strong in PySpark/SQL transformations, Airflow reliability patterns, and production observability (CloudWatch), with measurable outcomes including improved data quality and 30–40% query performance gains. Also built Python data APIs for analytics/ML consumers with versioning and backward compatibility.”
Rohith Sadanala
Mid-level Machine Learning Engineer specializing in Generative AI and MLOps
“LLM/agent engineer who has shipped production RAG chatbots in sustainability-focused domains, including a packaging recommendation assistant that standardized messy user inputs and used Pinecone-backed retrieval over product/regulatory data. Experienced orchestrating end-to-end ML workflows with Airflow and AWS Step Functions/Lambda, emphasizing reliability (property-based testing, circuit breakers, OpenTelemetry) and measurable performance (latency/cost). Partnered closely with non-technical leadership to ship 3 weeks early, driving adoption by 150+ businesses and ~20% reported waste reduction.”
Surya Vardhan
Junior Operations Data Analyst specializing in KPI dashboards and SLA reporting
“Manufacturing/quality-focused professional with experience at Sikorsky Aerospace supporting aircraft parts production for clients such as Boeing and Cobham. Drove data-driven process improvements (cleaned/visualized production data) and redesigned material usage to cut delays by ~20% and reduce waste, while coordinating across production, inspection, QC, and delivery readiness.”
Xuan Qin Zhang
Junior Software Engineer specializing in data engineering for satellite telemetry
“Data/pipeline engineer with experience in space and scientific data systems, including JPL-related satellite transmission workflows and customer deployments involving NOAA/Argo standards. Stands out for building autonomous production pipelines, debugging subtle logic failures in data integrations, and improving processing efficiency while reducing manual operational work.”
Sunil Chinthaparthi
Senior Software Engineer specializing in cloud-native backend and distributed systems
“Backend engineer focused on Python/FastAPI microservices running on Kubernetes (AWS EKS) with strong GitOps/CI/CD ownership (GitHub Actions + ArgoCD). Demonstrated measurable performance wins (p95 latency cut from >1s to <200ms) and production reliability work across Kafka/Redis streaming and cloud-to-on-prem migrations (RDS/S3 to Postgres/MinIO) using parallel validation and checksum-based consistency checks.”