Vetted Oracle Database Professionals

“Solaris-focused engineer who has led production performance investigations using DTrace and implemented code changes that substantially improved runtime by removing redundant parsing. Participated in a data-center-exit lift-and-shift to cloud using Oracle GoldenGate for replication and LVM to duplicate the application platform, with some exposure to AIX/IBM Power (LPAR recovery with NIM, assisted PowerHA validation).”

Abhishek Yadav

Screened ReferencesStrong rec.

Mid-level Full-Stack Engineer specializing in Python and FinTech

Tempe, AZ4y exp

“Full-stack engineer with experience shipping both enterprise financial systems at Citi and production AI copilots. Built a real-time transaction monitoring dashboard that cut manual reporting by ~60%, and also designed a grounded, human-in-the-loop LLM support assistant with RAG, structured outputs, and production evals for quality and compliance.”

“Full-stack/backend-leaning engineer who has built internal operational dashboards and AI assistants, including a real-time dashboard used by engineering, operations, and management teams at NVIDIA. Brings a mix of Spring Boot, Angular/TypeScript, distributed-system performance tuning, and practical LLM integration with grounding, validation, and production monitoring.”

“Backend/data engineer with production experience building FastAPI services with strong reliability patterns (circuit breaker, rate limiting, caching, graceful degradation) and JWT/OAuth2 auth. Has delivered AWS EKS deployments via Terraform with Secrets Manager/IRSA and HPA autoscaling, and built Glue/Spark ETL pipelines on S3 Parquet with schema-evolution and idempotent reruns; also demonstrated measurable SQL tuning impact (20–30s to <10s).”

“Backend/distributed-systems engineer with Uber experience building real-time telemetry and safety signal pipelines. Strong in Kafka-based event-driven architectures, low-latency processing under peak load, and production reliability via monitoring, retries, and fallback logic; has Docker/Kubernetes and CI/CD deployment experience.”

Vela Sivasankaran

Screened

Executive technology leader specializing in cloud, telecom, and digital transformation

Virginia, USA16y exp

“Former founder of a financial services technology startup that is currently on hold for family reasons. Has hands-on startup fundraising exposure from employee roles, including presenting proof-of-concept demos to venture capital firms, and brings a strong focus on fraud prevention, safeguards, and regulatory compliance.”

Shreya Roy Koneri

Screened

Mid-level Software Engineer specializing in backend microservices and real-time payments

Phoenix, AZ5y exp

“Product-minded full-stack engineer who has owned customer-facing platforms end-to-end, including a unified web UI platform that increased adoption by 30% using feature flags and phased rollouts. Experienced designing TypeScript/React systems with microservices and RabbitMQ at scale, addressing reliability issues with DLQs, retries, and idempotent consumers, and building internal analytics tooling adopted company-wide within weeks.”

Doran Morgan

Screened

Senior Product Management leader specializing in AI-enabled enterprise SaaS platforms

Atlanta, GA16y exp

“Product leader with experience across Sage Intacct, Salesforce, Deltek, and Warner Brothers-style enterprise environments, spanning payments, legal workflow automation, compliance, and global team leadership. Notably led a new customer payment portal that lifted payment completion from 20% to 38% and built AI-assisted contract workflow improvements that reduced false positives and redirected 2 Legal Ops FTE to higher-value work.”

Shivam Gupta

Screened

Mid-level Software Engineer specializing in distributed systems, AI, and FinTech

USA5y exp

“Full-stack engineer with experience at AWS and Barclays, spanning large-scale cloud infrastructure, customer-facing product development, and production GenAI systems. Stands out for owning systems end-to-end—from backend architecture and frontend UX to AI reliability and cost optimization—with measurable impact including 25% fewer support tickets, 10% subscription growth, and debugging time reduced from 30 minutes to 5 minutes.”

“Senior engineering leader in the Bay Area with experience spanning VMware, Hortonworks/Cloudera, Barracuda, and Palo Alto Networks, including leading open-source work (Apache Knox) and architecting large-scale security platforms. Has driven disaster recovery and cloud security products, designed Python microservices for Microsoft 365 security, and scaled teams (3x) while formalizing enterprise readiness practices with automated documentation using Notebook LLM.”

“Architect/engineering leader who built a multi-tenant AI platform end-to-end, including a secure FastAPI orchestrator (JWT, RBAC, tenant isolation, auditing) and an extensible MCP tool-routing layer, then productionized it via fully containerized microservices (Docker, Postgres/pgvector, Redis). Also has strong governance and compliance experience (ARB with security/privacy/SOX) and has owned high-severity incidents through mitigation and RCA/RCCA, plus prior high-volume payments/accounting data pipeline design with audit-grade integrity checks.”

“Engineering lead/player-coach at Sam's Club who drove major React Native Member Desk Returns changes (including Vision Center insurance refund flows) by coordinating Product/UX, QA, and API teams and leading a 3-engineer squad. Also led an e-commerce mobile OAuth migration, evolving a login experience from vanilla JS to a React SPA as security requirements (MFA, reCAPTCHA) emerged, and improved production reliability via better request flagging and analytics/log instrumentation.”

Yashwanth J

Screened

Mid-level Software Engineer specializing in AI/ML and full-stack systems

Seattle, WA4y exp

“Engineer with Apple experience building LLM-powered internal workflow orchestration systems using Python, LangGraph, FastAPI, Redis, vector search, and Kubernetes. Stands out for a highly pragmatic, production-focused approach to agentic systems: deterministic state management, strong guardrails, observability, and human review for high-risk actions.”

“Full-stack engineer (Snowflake) who shipped an AI/LLM-powered data exploration product end-to-end, spanning Spring Boot/Python services and a polished React UI with streaming responses and robust fallbacks. Experienced operating high-scale AWS deployments (Docker/Kubernetes, SNS/SQS, RDS Postgres, CloudWatch, Jenkins CI/CD) supporting thousands to tens of thousands of concurrent users, including handling real traffic-spike scaling incidents.”

Edward Yeh

Screened

Director-level Data Engineering & MDM leader specializing in enterprise data platforms

Hunt Valley, MD20y exp

“Former Xendit (YC-backed fintech) operator applying outcome-driven, scalable product-building experience to a new startup: a real-time, personalized real estate investment intelligence platform. Has begun prototyping, completed ROI analysis, and validated the space with US market research plus broker interviews in Chicago and Los Angeles, aiming to differentiate from Zillow/Redfin with goal-based ranked investment recommendations.”

Chaithanya Konda

Screened

Mid-level Data Engineer specializing in multi-cloud analytics platforms

Waltham, MA6y exp

“Data engineer with hands-on GCP platform experience spanning BigQuery, Cloud SQL, Dataflow, and Cloud Composer, including both production operations and cloud migration work. They led a migration from legacy SQL Server/Oracle systems to a cloud-native BigQuery architecture and cite measurable impact: processing reduced from hours to minutes, query latency improved 60%+, and ingestion time improved 40%.”