Vetted Microsoft SQL Server Professionals

Karan Javali

Screened

Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native web platforms

Salt Lake City, Utah5y exp

“Software engineer with experience at Goldman Sachs and Arizona State University’s Learning Engineering Institute, shipping production backend systems including a vendor equities invoice-generation service designed for extensibility across multiple vendors. Built Django REST + PostgreSQL backends with JWT auth and Pytest coverage, and delivered data-heavy, responsive Angular dashboards; also has exposure to AWS EC2 deployments and GitLab CI/CD automation.”

“Backend engineer with healthcare and financial services experience (Humana, PNC) who owned production-grade, high-volume ingestion-to-API pipelines end-to-end in C#/.NET and SQL. Strong focus on data quality, handling out-of-order/partial upstream records, and improving reliability/observability via structured logging and telemetry, plus significant SQL performance tuning to reduce peak-load issues.”

Krishnamraju Penumatsa

Screened

Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines

Fort Worth, TX6y exp

“Data engineer currently at American Airlines who built and owned end-to-end flight operations and booking data pipelines (batch + real-time) using Azure Data Factory, Kafka, Spark/Databricks, Synapse, and Snowflake—processing hundreds of GBs/day. Strong focus on reliability and data quality (idempotency, checkpointing, retries, validation/alerts) and delivered near-real-time analytics powering Power BI dashboards; previously helped stand up an early-stage data platform at Sysco on AWS (Glue/S3/Redshift) with Airflow and Jenkins CI/CD.”

“Former founding engineer and eventual CTO at 2Plus2 Partners (25 years ago) with additional experience in two private-equity-backed companies (apex analytix and HICX). Interested in helping build another company before retirement; comfortable with entrepreneurial risk but cannot self-fund significant capital.”

Vishal Kodakanchi

Screened

Director of AI Platforms & Architecture specializing in enterprise GenAI and AI Centers of Excellence

Mountain View, CA20y exp

“Software industry veteran (20 years) pursuing entrepreneurship; currently building an MVP software product aimed at solving specific finance and accounting problems for nano, micro, and small enterprises. Plans to run a metrics-driven pilot to validate demand before refining the product and raising capital; leveraging Google for Startups and exploring AWS for Startups.”

“Healthcare-focused data analyst with hands-on experience at Molina Healthcare building SQL and Python workflows for retention and churn analytics. They combined enrollment, CRM, and claims data into Power BI reporting, automated predictive churn analysis, and tied their work to measurable outcomes including faster processing, better reporting accuracy, and reduced churn.”

Rami Jaloudi

Screened

Senior Applications Engineer specializing in legal technology and eDiscovery

New York, NY16y exp

“Early-stage founder candidate exploring an AI-enabled legal tech startup focused on document intelligence, secure workflows, and enterprise automation. Brings a rare blend of technical architecture fluency and product/business thinking, with clear firsthand insight into legal and document-heavy operational pain points.”

“ML/AI engineer focused on taking LLM products from experiment to production, with hands-on ownership of a RAG-based customer support system that improved response quality by 35% and cut latency by 30%. Stands out for combining product impact with production rigor across retrieval tuning, safety guardrails, monitoring, and reusable Python/FastAPI services that accelerated adoption across teams.”

“Healthcare analytics candidate with hands-on experience turning messy claims and clinical data into validated SQL/Python pipelines and Power BI dashboards. They have delivered measurable impact in revenue cycle operations, including 15-18% improvement in reimbursement accuracy and 40-45% reduction in manual reporting effort.”

VINAY KUMAR VIPPALA

Screened

Mid-level Software Engineer specializing in FinTech backend systems

Seattle, WA5y exp

“Full-stack product engineer with hands-on ownership from React UI through Spring Boot APIs and SQL data layers, focused on transaction-heavy fintech workflows. Built both a transaction reconciliation system and a 0-to-1 AI-based anomaly detection workflow at LeisurePay, combining performance-minded frontend engineering with pragmatic product delivery.”

“Founding engineer at an edtech startup who combines hands-on engineering leadership with advanced AI-native development workflows. They’ve built an AI grading pipeline and a multi-agent SDLC tool, and stand out for treating AI agents like an engineering team with planning, parallel execution, QA, and rigorous validation.”

Michael Boaz

Screened

Senior Software Developer specializing in cloud-native and event-driven architecture

Atlanta, GA24y exp

“Built and shipped production LLM/agent systems on AWS for internal developer support and IT observability use cases, including a Claude-based support tool grounded in internal documentation and a cost-optimized ServiceNow integration. Stands out for combining agent design, cloud architecture, CI/CD, chaos testing, and observability to make non-deterministic systems reliable and maintainable in production.”

“Engineering leader with 8+ years across IoT, emergency messaging, and political campaign data science, including operating a massive IoT microservices platform at several million devices and roughly 200 million requests per minute. Particularly strong in retrofitting legacy systems for modern observability using OpenTelemetry, Honeycomb, and Grafana LGTM, while also managing distributed international teams and developing engineers into senior and tech lead roles.”

“Data science and AI professional with Capital One experience building churn prediction and GenAI-powered document intelligence solutions. Stands out for pairing hands-on technical depth in NLP, LLMs, and analytics with strong business communication, including driving adoption across teams and contributing to a 25% reduction in customer churn.”

“Growth-stage startup engineer with strong end-to-end ownership across React, Java/Spring Boot, MySQL, and cloud deployment. They led workflow automation products that replaced manual operational processes, improved efficiency and reliability, and evolved the platform into a more configurable B2B workflow system shaped by user feedback.”

Rishabh Goyal

Screened

Mid-level Software Engineer specializing in backend microservices and FinTech

USA4y exp

“Python backend engineer focused on real-time e-commerce analytics systems, building FastAPI + Kafka microservices with strong idempotent processing patterns (Postgres upserts, manual offsets, Redis caching). Has hands-on Kubernetes (EKS) and GitOps delivery with Argo CD/GitHub Actions, plus experience migrating containerized services from on-prem VMs to AWS using Terraform and blue-green cutovers.”

“Backend-focused engineer with production experience across finance and healthcare, currently building real-time payment microservices at JPMorgan Chase handling 3M+ transactions daily and 100k TPS peak. Stands out for combining high-scale distributed systems design, measurable database and ETL performance wins, and strong compliance-minded architecture in regulated domains.”

“Backend and full-stack engineer with experience spanning an academic collaboration platform and Comcast voice services. Stands out for measurable performance wins across the stack—30% faster page loads, 40% better throughput, and 25% lower server load—while working on reliability-sensitive production systems handling live voice traffic.”

“Full-stack engineer with experience at Wipro and Cisco building real-time monitoring and observability platforms from scratch. Stands out for combining streaming/data-pipeline depth (Kafka, Fluentd, Elasticsearch, Redis) with strong React/TypeScript frontend execution, and for delivering measurable impact such as cutting troubleshooting time by nearly a third.”

“Front-end engineer focused on sophisticated browser-based enterprise dashboards, with strong expertise in real-time data visualization and performance tuning under heavy load. Demonstrated deep knowledge of browser rendering internals and improved user trust by making a live operations UI responsive enough for time-sensitive decision-making.”

“Built and deployed an LLM-powered customer support assistant (“Notable Assistant”) focused on automating common post-customer queries while maintaining multi-turn context and meeting scalability/latency needs. Experienced with production orchestration and operations using Kubernetes and Apache Airflow (DAG-based ETL, scheduling, monitoring/alerts), and has partnered closely with customer service stakeholders to align chatbot behavior with brand voice through iterative testing.”

Kal Yimer

Screened

Mid-level Java Application Engineer specializing in FinTech backend systems

Silver Spring, MD3y exp

“Banking-focused software engineer with hands-on experience modernizing legacy systems and building internal full-stack applications using Java, Spring Boot, React, SQL, and MongoDB. Stands out for reliability-minded engineering in financial environments, including a scheduling system that handled Daylight Saving Time correctly, reduced manual work, and protected downstream processing.”

Janvitha Mandyam

Screened

Mid-level AI/ML Engineer specializing in Generative AI and NLP

Chicago, IL4y exp

“GenAI/LLMOps practitioner who deployed a production RAG-based customer service and knowledge retrieval system for a global bank using LangChain, FAISS/Azure Cognitive Search, GPT-4/Claude, and Guardrails—driving a reported 35% Q&A accuracy lift while reducing handle time and escalations. Also partnered with non-technical leaders at CVS Health to deliver ML-driven supply chain risk and inventory insights via anomaly detection, NLG summaries, and stakeholder-friendly dashboards.”

“Backend/data engineer with hands-on production experience building reliable Python FastAPI services on Kubernetes and delivering AWS EKS + Terraform CI/CD with strong secrets isolation and rollback practices. Also built AWS Glue ETL pipelines into S3/Redshift with schema-evolution handling and data-quality controls, modernized legacy analytics into modular Python services with parallel-run parity validation, and has demonstrated SQL tuning impact (minutes to seconds) plus ownership of batch pipeline incidents end-to-end.”