Vetted Microsoft SQL Server Professionals

Pre-screened and vetted.

AG

Archit Gangal

Screened

Senior Full-Stack Developer specializing in cloud-native microservices and AI/ML analytics

7y exp
AllstateColorado State University

Full-stack/backend engineer with deep insurance claims domain experience who built and operated a microservices + ETL platform (Java/Spring Boot + Python + Kafka/Databricks) processing 1M+ daily transactions. Combines production-grade reliability (99.7% uptime, zero-downtime blue/green releases, strong observability) with customer-facing UI delivery (AngularJS/React+TS dashboards and a hackathon-winning research chatbot).

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Yashodhar Pansuria - Senior Full-Stack Java Developer specializing in capital markets and trading systems in East Windsor, NJ

Senior Full-Stack Java Developer specializing in capital markets and trading systems

East Windsor, NJ12y exp
PNCGandhinagar Institute of Technology

Backend/data engineer with production experience in payment initiation/processing services built in Python/FastAPI, emphasizing reliability patterns (JWT/RBAC, timeouts, retries, circuit breakers). Has delivered AWS deployments on ECS (ALB, autoscaling, CI/CD to ECR) plus Lambda-based reporting, and built AWS Glue ETL pipelines with schema evolution and CloudWatch monitoring. Also modernized a legacy SAS reporting platform to Python/PostgreSQL with regression parity testing and parallel-run migration, and achieved a 70% SQL performance improvement.

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Yash De - Intern Full-Stack Developer specializing in AI/LLM applications in San Jose, CA

Yash De

Screened

Intern Full-Stack Developer specializing in AI/LLM applications

San Jose, CA3y exp
Kingship AIStevens Institute of Technology

Backend-focused intern who built and refactored the backend for an LLM-driven gifting mobile app using FastAPI, tackling high-latency LLM + product-API workflows. Implemented async worker-pool/queue processing with Redis caching plus retries/fallbacks, cutting end-to-end suggestion latency from ~4–5 seconds to ~1 second while improving reliability and rollout safety via staged migrations and testing.

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Harshitha K - Mid-level Full-Stack .NET Developer specializing in cloud-native microservices in Greensboro, NC

Harshitha K

Screened

Mid-level Full-Stack .NET Developer specializing in cloud-native microservices

Greensboro, NC5y exp
Lincoln FinancialUniversity of Bridgeport

Full-stack .NET engineer with cloud and applied GenAI experience who shipped a real-time policy status tracking module at Lincoln Financial using ASP.NET Core/.NET 8, Kafka, Angular, SQL Server, Redis, and AKS autoscaling. Also delivered a production internal LLM+RAG support assistant at Honeywell with strong security/guardrails (PII masking, RBAC) and a rigorous eval/regression loop built on a 200-question gold set.

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Aniruth Ravula - Mid-level Full-Stack Java Developer specializing in Angular and Spring Boot microservices

Mid-level Full-Stack Java Developer specializing in Angular and Spring Boot microservices

5y exp
XpanseUniversity of Cincinnati

Full stack Java developer (5 years Java/Spring Boot) building a mortgage-focused rule engine platform used by business users and developers. Experienced scaling data-intensive microservices on AWS (RDS/S3/SQS) and optimizing high-volume rule processing with SQL tuning, caching (KIE container), and asynchronous task decoupling; also delivers modern UIs in Angular and React (Redux/Toolkit).

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Mohithkumar Bolisetti - Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms in Strongsville, Ohio

Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms

Strongsville, Ohio5y exp
PNCUniversity of Dayton

Full-stack engineer focused on modernizing legacy financial/compliance platforms into cloud-native, domain-driven microservices. Deep hands-on experience across Spring Boot/Kafka/Redis/Postgres-Mongo backends and React/Angular frontends, with strong CI/CD and Kubernetes/OpenShift deployment practices for real-time, high-volume workloads.

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SR

Shreya Reddy

Screened

Mid-level Business Data Analyst specializing in healthcare analytics

USA6y exp
Cardinal HealthSouthern Illinois University Carbondale

Analytics professional with Northern Trust experience focused on investment portfolio reconciliation and reporting. They combine SQL, Python, and Power BI to clean and validate high-volume financial data, automate manual processes, and align operations and accounting teams on shared metrics—driving roughly 20% improvement in reconciliation accuracy.

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SM

Sathvika Meka

Screened

Mid-level Data Analyst specializing in BI, analytics, and healthcare data

Remote, USA4y exp
CVS HealthUniversity of South Florida

Analytics professional at Optum with hands-on experience turning messy healthcare claims data from SQL, Excel, and CRM systems into validated reporting datasets and Power BI dashboards. They also built reproducible Python workflows for claims analysis and owned an end-to-end project focused on improving claims processing efficiency through metric design, segmentation, and stakeholder-driven operational improvements.

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GJ

Mid-level Business Systems Analyst specializing in healthcare and transportation analytics

USA5y exp
Hub GroupIllinois Institute of Technology

Analytics candidate with strong finance/operations reporting experience, focused on billing, margin, and revenue leakage use cases. They have built SQL and Python workflows that turned messy shipment, invoice, PO, and ERP data into trusted reporting layers, replacing manual Excel processes and driving adoption through transparent reconciliation and stakeholder collaboration.

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UP

Utkarsh Patel

Screened

Mid-level Full-Stack Engineer specializing in AI products and LLM systems

Irvine, CA4y exp
University of California, IrvineUC Irvine

AI-native software developer who has built a highly structured workflow around Claude, Cursor, design agents, and SpecKit to plan, design, implement, and test features end to end. They also use multi-agent setups with sub-agents and git worktrees, and have experience acting as a tech lead for AI agents by assigning roles, guiding execution, and reviewing outputs.

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RA

Mid-level Full-Stack Engineer specializing in FinTech

Irving, TX4y exp
CitibankLamar University

Junior developer with over a year of experience who is already applying AI-assisted engineering practices in production, including GitHub Copilot, ChatGPT, SonarQube, and OpenAI-based workflows. On a Citibank public portal built with .NET 8 and Angular, they used AI tooling plus CI/CD quality gates to speed delivery and reportedly reduce post-deployment bugs by 30-40% while maintaining strict security and compliance standards.

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KAVYA UDATHA - Mid-level Full-Stack Java Developer specializing in retail, banking, and healthcare systems in Fairborn, OH

KAVYA UDATHA

Screened

Mid-level Full-Stack Java Developer specializing in retail, banking, and healthcare systems

Fairborn, OH5y exp
Office DepotWright State University

Full-stack engineer with hands-on ownership of a real-time retail inventory and shipment tracking platform, spanning React/Angular dashboards through Spring Boot microservices, PostgreSQL, and Kafka. Stands out for building operationally impactful systems in ambiguous environments and for thinking carefully about scalability, monitoring, and user-friendly workflow automation, even without direct production AI experience.

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NP

Mid-level Software Engineer specializing in backend web applications and APIs

Illinois, USA5y exp
Capital OneIllinois Institute of Technology

Backend-leaning full-stack engineer who has shipped both a SaaS analytics/A-B testing platform and an AI-driven fraud monitoring product in production. Stands out for combining React/TypeScript frontend work with Python/Java backend systems, event-driven architecture, and practical LLM integration grounded by validation and human analyst feedback, with measurable impact on engagement, performance, fraud accuracy, and false positives.

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Omkar Tulsidas Parab - Mid-level Software Engineer specializing in full-stack web and AI applications in United States

Mid-level Software Engineer specializing in full-stack web and AI applications

United States5y exp
ThirthaSoft, LLCUniversity of Florida

Software engineer who owned an Order Management System end-to-end at Reliance Jio, improving large-table performance via UI virtualization shipped behind feature flags and refined through direct ops-user observation. Also built an OCR automation tool at Piramal Realty using Python/Tesseract with validation and manual correction fallbacks, driving adoption by operations teams. Experienced integrating with Kafka-based microservices and improving observability using structured logging and correlation IDs.

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Jaisurya Kolluru - Mid-level Software Engineer specializing in cloud-native backend and AI systems in Virginia, USA

Mid-level Software Engineer specializing in cloud-native backend and AI systems

Virginia, USA5y exp
CVS HealthGeorge Mason University

Full-stack engineer with hands-on ownership across React/TypeScript frontends, Node.js backends, and PostgreSQL on AWS. Stands out for production-focused database optimization, including execution-plan analysis, indexing, safe migrations, and architectural improvements that reduced database bottlenecks through a centralized REST API layer.

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BK

Bangaru Kota

Screened

Mid-level Java Engineer specializing in microservices and FinTech

Bridgeport, CT4y exp
CoforgeUniversity of Bridgeport

Backend-leaning engineer at Coforge with strong experience in subscription lifecycle and billing platforms, combining PostgreSQL, MongoDB, Azure, Kubernetes, and messaging systems. Stands out for owning production systems end to end and driving an event-driven architecture shift that reduced failures by 30%+ and improved response times by 40%.

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SC

Junior Software Engineer specializing in AI, robotics, and full-stack systems

Mumbai, India1y exp
Arcon Tech SolutionsArizona State University

Full-stack engineer with hands-on experience building enterprise workflow management platforms across React/TypeScript, Node.js/Express, Angular, and .NET Core microservices. They stand out for owning features through production, solving real-world data consistency and legacy-data issues, and driving architectural and SQL performance improvements that made dashboards faster and more reliable.

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UK

Mid-Level Full-Stack Java Engineer specializing in microservices and cloud platforms

Austin, Texas5y exp
CenteneWebster University

Frontend/platform-leaning engineer who owned a shared React component library (design-system style) adopted across multiple SPAs, with strong discipline around SemVer, deprecation strategy, and developer documentation. Also has backend/distributed-systems experience diagnosing and fixing a Kafka microservice race condition and has led prioritization/migration planning in an unstructured monolith-to-microservices environment (Centene).

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SM

Sadhvik Morla

Screened

Mid-Level .NET Full-Stack Developer specializing in banking and cloud-native microservices

Remote, USA4y exp
First Republic BankUniversity of South Alabama

Full Stack Engineer with hands-on experience owning customer-facing products end-to-end, emphasizing fast iteration via feature flags and risk-based testing for critical user flows. Built TypeScript/React systems with shared types and clean backend layering, and has microservices experience using RabbitMQ to decouple services and manage scale issues like queue backlogs. Also created an internal dashboard for dev/QA to centralize build/test/deploy visibility and iterated on it through lightweight user research and usage metrics.

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SM

Mid-level Full-Stack Software Developer specializing in cloud-native microservices

WI, USA3y exp
Cardinal HealthAnderson University

Full-stack engineer with enterprise experience at Metasystems Inc. (and Qualcomm) building high-traffic, security-sensitive systems—owned a secure transaction processing module end-to-end using Java/Spring Boot, Python/Django, and React. Strong AWS production operations (EKS/ECS/Lambda/RDS/DynamoDB) with IaC (Terraform/CloudFormation), observability, and reliability patterns; also delivered resilient ETL/integration pipelines with idempotency/retries/backfills and achieved a 50% deployment-time reduction through CI/CD and modular refactoring.

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BK

Bindu Kalam

Screened

Mid-Level Full-Stack Java Developer specializing in FinTech and Healthcare IT

Centerton, AR4y exp
FiservUniversity at Buffalo

Backend engineer with experience building Spring Boot microservices for financial workflows at Fizzle (thousands of requests/minute) and shipping healthcare data validation automation at CVS Health. Demonstrates strong production reliability/performance skills—deep in database tuning (query plans, indexing, caching, denormalization), observability (Prometheus/Grafana), and resilient multi-step workflow design with retries and human-in-the-loop escalation.

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RB

Rakesh Bollam

Screened

Mid-level DevOps/Cloud Engineer specializing in AWS & Azure infrastructure and CI/CD automation

St. Louis, Missouri5y exp
EquifaxSaint Louis University

Infrastructure engineer with hands-on ownership of a scaled IBM Power/AIX estate (AIX 7.x, VIOS, HMC; 2 frames/20+ LPARs) supporting critical middleware and database workloads, including live DLPAR changes and VIOS/SAN outage recovery. Also brings modern DevOps/IaC experience building GitHub Actions pipelines for Docker/Kubernetes deployments and provisioning AWS environments with Terraform (EKS/RDS/VPC/IAM) using modular, review-driven workflows.

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SP

shravya potu

Screened

Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices

6y exp
Capital OneUniversity of North Texas

Full-stack engineer with experience at Capital One and Prime Softech owning production systems end-to-end: secure authentication (Java/Spring Security + React/Redux) through AWS ECS deployments with Terraform and CI/CD. Strong reliability/observability focus (Prometheus/Grafana/ELK/CloudWatch) with quantified improvements (15% reliability gain, 30% fewer post-release defects). Also led legacy monolith-to-microservices refactors and built real-time Kafka/Spark ingestion pipelines for analytics/fraud detection.

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HC

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

USA, USA3y exp
HCLTechUniversity of New Haven

Data engineer (~4 years) with full-stack delivery experience (Next.js App Router/TypeScript + React) building a real-time operations monitoring dashboard backed by Kafka and orchestrated data pipelines. Strong production focus: Airflow + CloudWatch monitoring, automated Python/SQL validation (99.5% accuracy), and CI/CD with Jenkins/Docker; has delivered measurable improvements in latency, pipeline reliability, and query performance (Postgres/Redshift).

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