Vetted ETL Professionals

“Data engineer in financial services (Northern Trust) who has worked across ingestion, transformation, data quality, orchestration, and serving on AWS (S3/Glue/EMR) with Airflow. Highlights include processing ~15M transactions with validation/anomaly detection for regulatory reporting and improving Snowflake query performance by 27% for risk/compliance reporting. Also built a personal real-time streaming service (FastAPI, Kafka, Redis, Cassandra) and uses production reliability patterns like blue-green/atomic swaps and robust retry strategies.”

Sridhar Duggireddy

Screened

Executive Technology Leader specializing in Cloud Platforms, DevOps, and AI/ML

Tampa, FL21y exp

“Early-stage startup CTO helping build an AI-powered parenting assistant app with features spanning advice, shopping, task management, and inventory management. The team is currently testing an MVP with their network while the candidate simultaneously learns the seed/Series fundraising process through Connectd and early investor conversations.”

“AI-focused engineer with Infosys experience building Azure/.NET chatbot applications and recent hands-on work with FastAPI/LangChain. Built a hackathon multi-agent legal counsel system showcasing agent orchestration, and emphasizes production readiness via Docker, GitHub Actions CI/CD, pytest automation, and adversarial simulations for auditable AI behavior. No direct robotics/ROS experience to date.”

“Built a production RAG chatbot for Worcester Polytechnic Institute that indexes 500+ webpages using FAISS + Llama 3, with strong grounding/hallucination controls (confidence thresholds and citations). Also has internship experience orchestrating multi-step ETL pipelines with AWS Step Functions and delivered a 30x faster fraud/claims triage workflow at Munich Re using association rules and stakeholder-friendly dashboards.”

“Analytics-focused candidate with hands-on experience in both supply chain data and AI product analytics. They have built SQL and Python pipelines for messy ERP/inventory data as well as high-volume user event data, and have driven experimentation, retention measurement, and dashboarding for AI avatar and voice/image cloning features.”

Ruchi Desai

Screened

Senior Backend Engineer specializing in cloud-native .NET microservices

Frisco, TX8y exp

“Healthcare-focused full-stack engineer who has spent their career in small startup-like teams, owning products end-to-end from business requirements to architecture, implementation, deployment, and support. They’ve built critical hospital-facing systems including patient intake, insurance eligibility, appointment search at scale, and configurable multi-tenant admin platforms using React, Node.js, .NET, AWS, MySQL, and Elasticsearch.”

“Healthcare-focused ML/AI engineer who has built production voice agents and clinical question-answering systems end-to-end, from experimentation through deployment, observability, and iteration. Particularly strong in making LLM systems reliable in real workflows via RAG, fine-tuning, guardrails, evaluation pipelines, and shared Python tooling; cites ~20% clinical QA accuracy gains and ~40% faster physician decision turnaround.”

“Full-stack engineer with payments/settlement domain experience who modernized a payment tracking workflow from REST to GraphQL and delivered a production payment status dashboard using Next.js App Router + TypeScript. Strong in performance and reliability work (Postgres indexing/Explain Analyze, Redis caching, Datadog observability) and in durable event-driven processing with Kafka (DLQs, idempotency, reconciliation, event replay).”

“AI/ML engineer who led Impacter AI’s production deployment of a specialized outreach LLM (CharmedLLM) fine-tuned on GPT-4.1, cutting API costs ~40% while boosting outreach effectiveness ~60%. Built the supporting MLOps and data infrastructure (MLflow, Kubernetes, PySpark, Kafka) and has agentic AI experience from University of Dayton, using LangChain + RAG and vector search (Pinecone) to improve reliability and reduce hallucinations.”

Shrutika Chawla

Screened

Senior Full-Stack Developer specializing in React/React Native and SaaS platforms

Edmonton, AB7y exp

“Frontend engineer who has led end-to-end delivery of a climate-risk visualization/financial impact web platform using micro-frontends (Webpack Module Federation), a shared MUI design system, and React Query server-state to keep independent modules consistent and performant. Also improved a complex rules-heavy document editor (Crove.app) by eliminating input lag with memoization + Web Workers and introducing a headless rendering engine reused across products, with disciplined rollout via feature flags and Sentry monitoring.”

Mohammed Saalim Kartapillai

Screened

Senior Backend/Full-Stack Engineer specializing in data platforms and cloud microservices

Chicago, Illinois7y exp

“Backend engineer who built and shipped an end-to-end AI outreach product (LazyMails) combining a LinkedIn-scraping Chrome extension with a FastAPI/Postgres backend and Gemini-powered email generation, achieving major personal productivity gains. Also has enterprise experience at TCS on Humana’s 500k+ user wellness platform running Kubernetes microservices with Azure DevOps CI/CD, plus Kafka-based real-time eligibility event streaming and GitOps-driven operations.”

Prudhvi Avula

Screened

Senior Full-Stack Software Engineer specializing in Java, React, and distributed systems

Austin, TX7y exp

“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.”

Gibran Rodriguez

Screened

Director-level Engineering Leader specializing in cloud, AI, and healthcare platforms

Round Rock, TX16y exp

“Senior engineering leader with a rare mix of org-scaling and deep hands-on technical execution across cloud platforms, AI/RAG systems, IoT, mobile, and operational software. Has led zero-downtime migrations, improved deployment velocity by 50%+, and built DataFabriks from an internal warehouse AI platform into a multi-tenant commercial SaaS product across healthcare and industrial environments.”