Vetted SQL Query Optimization Professionals

Pre-screened and vetted.

TY

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

Plymouth, MN6y exp
McKinsey & CompanyConcordia University
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HK

Senior Full-Stack .NET Engineer specializing in cloud, APIs, and data platforms

Fremont, CA15y exp
VanguardUniversity of Mumbai
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RR

Mid-level Full-Stack Java Developer specializing in Financial Services and Healthcare IT

Minneapolis, MN3y exp
Morgan StanleyConcordia University
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DL

Senior Full-Stack Engineer specializing in FinTech and SaaS platforms

Kansas City, MO9y exp
AchieveUniversity of Nebraska-Lincoln
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PB

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

Sunnyvale, CA5y exp
Goldman SachsCalifornia State University, Chico
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IK

Senior Data Engineer specializing in Azure, Databricks, and BI/ETL platforms

Orlando, FL9y exp
EY
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PP

Senior Full-Stack Developer specializing in Java microservices and cloud platforms

Durant, OK8y exp
First United Bank
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KT

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

Florida, USA4y exp
JPMorgan Chase
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TS

Senior Data Engineer specializing in multi-cloud data platforms and real-time analytics

Sunny Isles Beach, FL10y exp
Capgemini
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RO

Rafael Ortega

Screened ReferencesStrong rec.

Senior Full-Stack & AI Engineer specializing in LLM integrations and cloud-native systems

Remote (Texas)8y exp
BlocUnitedNew Mexico Tech

Backend/data engineer with hands-on production experience building FastAPI Python APIs and AWS-native platforms (Lambda/API Gateway, SQS, ECS Fargate) with Terraform + GitHub Actions CI/CD and strong reliability practices (JWT/RBAC, retries/timeouts, structured errors/logging). Also built AWS Glue ETL pipelines (S3/RDS to curated S3/Athena) with schema evolution and data quality controls, modernized legacy processing via parallel-run validation and phased cutovers, and has demonstrated SQL tuning impact (seconds to <200ms) plus incident ownership for batch pipeline SLAs.

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Mounika Nadendla - Senior Data Engineer specializing in cloud data platforms and real-time streaming

Mounika Nadendla

Screened ReferencesStrong rec.

Senior Data Engineer specializing in cloud data platforms and real-time streaming

5y exp
CVS HealthUniversity of Cincinnati

Data engineer focused on building reliable, production-grade data systems end-to-end: batch and real-time pipelines (Airflow/Kafka/Spark) with strong data quality, monitoring/alerting, and incident response. Has experience integrating external API/web data with retries, throttling, and schema-change handling, and serving curated datasets to analytics (Power BI) and backend consumers with performance optimizations like Redis caching.

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SL

Senior Software Engineer specializing in backend microservices and data platforms

Colorado Springs, CO12y exp
ZocdocUniversity of Minnesota
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Fatema Tuzzohra - Senior Full-Stack Java Developer specializing in banking and healthcare platforms in Hicksville, NY

Senior Full-Stack Java Developer specializing in banking and healthcare platforms

Hicksville, NY12y exp
U.S. BankKhulna Women's College

Enterprise-focused full-stack/backend engineer with hands-on experience shipping a production LLM-powered document analysis platform for internal operations teams. They combine cloud-native microservices expertise across AWS/Azure with practical agent-system design, including async orchestration, model routing, observability, and safeguards for hallucinations, failures, and human-review fallbacks.

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YT

Senior Software Development Engineer specializing in backend systems and data pipelines

5y exp
Cardinal HealthJB Institute of Engineering and Technology

Backend-focused engineer with healthcare and finance experience (Cardinal Health, JPMorgan) who has owned end-to-end data flows powering dashboards, emphasizing strong validation/data quality and measurable frontend performance gains. Has shipped Spring Boot REST APIs with versioning and Swagger docs, and has stood up an MVP task management system with GitHub Actions CI/CD, Docker, and AWS EC2 deployment.

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AJ

Mid-level Full-Stack Software Engineer specializing in .NET, Legal Tech, and FinTech

Reno, NV6y exp
BigHandUniversity of Michigan
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SA

Sharath Addepalli

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in Python microservices and scalable web APIs

Franklin, TN3y exp
NissanUniversity of Florida

Backend engineer who replaced an Excel-heavy forecasting workflow with a secure, auditable FastAPI system (React UI + relational model + async workers), emphasizing deterministic processing, idempotency, and versioned ledger-style ingestion. Led a monolith-to-FastAPI migration at Bounteous using a strangler approach, feature-flagged incremental rollout, and data reconciliation/shadow-compare to protect integrity while scaling onboarding workflows.

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Vaishnavi Kashyap - Junior Full-Stack Software Engineer specializing in web platforms and sustainability analytics

Vaishnavi Kashyap

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in web platforms and sustainability analytics

1y exp
Saint-GobainUniversity of Massachusetts Amherst

Full-stack/backend engineer who owned a production digital assembly planning platform at Saint Gobain end-to-end (React/Node/Postgres), maintaining 99.9% uptime across 5 factory sites and driving a reported 90% improvement in factory-floor coordination. Also built and operated BigQuery + Vertex AI (ARIMA) forecasting/data pipelines processing 1M+ datapoints daily, with strong emphasis on idempotency and data-quality validation to prevent incorrect outputs.

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YS

Yash Sanjay Zaveri

Screened ReferencesStrong rec.

Junior Software Engineer specializing in backend systems and AI automation

Boston, MA2y exp
Northeastern UniversityNortheastern University

Built and deployed an AI Copilot for Healthful Telehealth that helps dietitians generate personalized meal plans using patient data and real-time clinical context. Stands out for owning the full lifecycle—from workflow discovery and ETL/RAG architecture to production incident response and post-launch stabilization—while delivering roughly 30% gains in retrieval accuracy and latency.

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Lavrenti DeLavrenti - Director-level Technology Leader specializing in cloud-native platforms, AI/ML, and SaaS in Remote

Lavrenti DeLavrenti

Screened ReferencesStrong rec.

Director-level Technology Leader specializing in cloud-native platforms, AI/ML, and SaaS

Remote15y exp
Alioni Tech LabsGeorgian Technical University

Engineering leader (Director/VP level) who has repeatedly aligned product and engineering through ROI-driven quarterly roadmaps and strong stakeholder communication, including board presentations. Built a parallel cloud team to migrate an on-prem product to the cloud, credited with delivering $9M ARR, and led a Python monolith-to-serverless event-driven microservices transformation. Currently manages distributed teams across Mexico, India, and the US using pod-based structures, clear KPIs, and a supportive accountability culture.

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suparshwa patil - Mid-level Software Engineer specializing in AI platforms and full-stack systems in Santa Clara, CA

suparshwa patil

Screened ReferencesStrong rec.

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

Santa Clara, CA4y exp
One CommunityPurdue University

Built and shipped a production AI-powered Q&A/RAG onboarding assistant at One Community Global that unified knowledge across Notion, Google Docs, and Slack, cutting volunteer onboarding time by 45%. Demonstrates strong end-to-end ownership: LangChain agent orchestration integrated into a FastAPI backend, rigorous evaluation (200-query dataset, ~85% accuracy), and production feedback/monitoring with source-attributed answers to build user trust.

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