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Vetted Confluence Professionals

Pre-screened and vetted.

ConfluenceJiraPythonAgileGitCI/CD
FK

Faiza Khan

Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech

Bristow, VA9y exp
Bank of America
AgileAnsibleAngularAPI DesignAPI GatewayApache Hadoop+259
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PS

Pablo Santana

Senior Customer Success Manager specializing in Enterprise SaaS retention and AI enablement

San Francisco Bay Area, CA11y exp
Builder.ai
AsanaChange ManagementConfluenceCRMData AnalysisData Visualization+54
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PA

Prathyusha A

Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)

Toronto, Canada6y exp
The Home Depot
AJAXAngularAngularJSAWSAWS CloudFormationAuthentication+145
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AV

Aurora Valentine

Senior QA Tester specializing in AAA video game testing

Redmond, WA8y exp
Bungie
Quality AssuranceSoftware TestingRegression TestingPerformance TestingTest PlanningSmoke Testing+52
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NC

Naga Chimkaurthi

Senior QA/Test Lead specializing in enterprise commerce platforms and order-to-cash automation

Durham, USA18y exp
Cisco
AgileAPI TestingAWSAzure DevOpsBitbucketC+138
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TS

Timur Stadnichenko

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

Sunny Isles Beach, FL10y exp
Capgemini
Azure FunctionsAWSAmazon S3AWS GlueAmazon RedshiftAWS Lambda+84
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PA

Precious Akinyele

Screened ReferencesStrong rec.

Senior Technical Product Manager specializing in data instrumentation and analytics platforms

England, United Kingdom7y exp
St. Andrews HealthcareUniversity of Essex

“Technical Product Manager with hands-on experience shipping and running live free-to-play games (including Cartoon Network BMX Champions) across web and mobile, with exposure to Roblox and some console. Focuses on data-driven live ops—daily rewards, streaks, push notifications, and limited-time events—paired with A/B testing and funnel/retention analytics to improve engagement and IAP performance.”

A/B TestingAgileAutomationAzure DevOpsConfluenceCross-Functional Collaboration+119
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PK

Pavan Kalyan

Screened

Mid-level AI Engineer specializing in GenAI agents and RAG for IT operations

4y exp
DeloitteUniversity of North Texas

“Built and operates a production LLM agent for enterprise IT operations that triages and drafts resolutions for high-volume ServiceNow tickets using LangChain + RAG (Pinecone/pgvector) and AWS Bedrock/OpenAI. Emphasizes reliability with schema-validated stages, offline eval datasets from real tickets, and CloudWatch-driven monitoring/guardrails; system scales to 40K+ tickets/month and cut resolution time ~28%.”

PythonSQLJavaScriptGenerative AIMachine LearningOpenAI API+89
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EK

Edem Kporha

Screened ReferencesStrong rec.

Senior Technical Support/Systems Engineer specializing in secure enterprise operations

Riverside, CA9y exp
Virtuous Automotive GroupValley View University

“AppSec-focused engineer with experience supporting federal case management platforms at Armedia (SAST/DAST/SCA, threat modeling, injection remediation) and leading production troubleshooting for Ecobank’s virtual card service across 33 African affiliates. Known for using deep log/SQL/trace analysis to pinpoint TLS and query issues, documenting clear repro evidence, and driving measurable outcomes like eliminating recurring SQL vulnerabilities and stabilizing activation success rates.”

AutomationBashComplianceContainerizationDevOpsDocumentation+126
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SY

Sandhya Yadavalli

Screened

Mid-level Cybersecurity Analyst specializing in SIEM, incident response, and Zero Trust

Remote, USA3y exp
BigCommerceYeshiva University

“Cybersecurity/SOC-focused engineer with hands-on production experience integrating and tuning Splunk Enterprise Security for a zero-trust program, including CIM normalization, correlation/risk-based detection tuning, and performance optimization via forwarder-level filtering and index strategy. Has cross-disciplinary incident troubleshooting experience spanning SIEM, networking, and hardware, and has automated customer/team-specific security workflows using Python in Splunk playbooks; collaborated on-site with HSBC IT/SOC teams to deliver dashboards and security policies.”

Incident ResponseComplianceAnomaly DetectionStatistical AnalysisDashboardingREST APIs+145
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BU

Branden Ueda

Senior Business Systems Analyst & QA/UAT Lead specializing in loan and PeopleSoft systems

Long Beach, California, USA23y exp
NakupunaCalifornia State University, Long Beach
AgileCommunicationConfluenceEnd-to-End TestingFunctional TestingJira+37
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MS

Mounika S

Senior Machine Learning Engineer specializing in MLOps and Generative AI

St. Louis, Missouri7y exp
Emerson
A/B TestingAmazon RedshiftAmazon S3Anomaly DetectionApache AirflowApache Hadoop+158
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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.”

PythonJavaTypeScriptJavaScriptSQLHTML+144
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LD

Lew Donley

Screened ReferencesStrong rec.

Senior Creative Design & Innovation Leader specializing in brand strategy and human-centered design

Normal, IL18y exp
TriMasIllinois State University

“Creative director/designer spanning high-polish marketing brand work and enterprise innovation: built a full podcast brand ecosystem and a cinematic historical visualization using Google Veo 3. Also led an AR/VR-assisted remote troubleshooting initiative at TriMas (HoloLens-style workflows), delivering a 40% MTTR reduction and cutting expert travel by 50%+ while standardizing reusable interaction components for global teams.”

Design SystemsGraphic DesignUI/UX DesignPrototypingProgram ManagementMarket Research+115
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LV

Likith Vishal Boddeda

Mid-level Software Engineer specializing in SRE, observability, and LLM-powered automation

Richardson, TX2y exp
CiscoWestcliff University
PythonC++JavaScriptTypeScriptSQLDocker+120
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RD

Rachel Downey

Screened ReferencesStrong rec.

Mid-Level Game Designer specializing in systems and economy design

Livermore, California4y exp
ScopelyFull Sail University

“Game economy/progression designer with hands-on ownership of end-to-end systems and live-ops tuning on major mobile titles (Star Trek Fleet Command, Marvel Contest of Champions). Builds spreadsheet-based simulations and telemetry-driven tuning loops to prevent inflation and reduce progression friction, including a multi-iteration optimization that lifted D7 retention ~7% while maintaining monetization targets.”

Predictive ModelingData AnalysisA/B TestingPrototypingUnreal EngineUnity+94
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AH

Anthony Hernandez

Screened ReferencesStrong rec.

Mid-level Game Designer specializing in systems, balance, and live updates

Los Angeles, CA6y exp
GrabUSC

“Game designer currently leading design on a Mario Party-like party game, owning mode design, economy, and meta-progression. Uses playtests and A/B tests to tune fairness-focused systems (e.g., dynamic power-ups accounting for player standing and turn order) and prototypes quickly in UE5 Blueprints. Previously shipped a mixed-reality version of Knockout League’s Knockout Alley mode for a Quest 3-aligned release.”

UnityUnreal EngineC#C++JavaScriptPython+90
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UG

Utkarsh Gogna

Screened

Mid-level Full-Stack Software Engineer specializing in Java microservices and cloud-native systems

Boston, MA5y exp
CGINortheastern University

“Backend engineer with experience building and modernizing high-volume healthcare transaction systems, including migrating Java services to Spring Boot microservices and adopting Kafka-based event-driven architectures. Strong focus on production reliability and operability (observability, CI/CD, standardized patterns) plus security (OAuth/JWT, RBAC, Postgres/Supabase RLS) and resilient stream processing (idempotency, DLQs).”

JavaPythonJavaScriptTypeScriptSQLC+++103
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AI

Anirudh Indurthi

Screened

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

NC, USA6y exp
Bank of AmericaUniversity of Central Missouri

“Software engineer with strong full-stack and platform experience (TypeScript/React/Node.js) who has built real-time analytics dashboards and microservices using RabbitMQ. Demonstrates production-minded decision-making under launch pressure (manual fallback for payment-impacting third-party API issues) and has delivered internal DevOps tooling that automates compliance checks via GitHub/Jira integrations.”

JavaPythonJavaScriptTypeScriptC++C#+122
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LH

Lachlan Hunt

Screened

Junior Game Programmer specializing in Unity and Unreal Engine

2y exp
Electronic ArtsAberystwyth University

“Solo developer who shipped an Android game (Master Caster) built around touch gesture recognition (P$ algorithm) and data-driven potion/ingredient systems using JSON/dictionaries. Has hands-on experience optimizing Unity projects for mobile constraints (framerate, heat/battery) using techniques directly applicable to VR, and is actively porting the game to VR in Unreal with a focus on accessibility and room/standing/seated play modes.”

UnityAPI IntegrationBlenderAdobe PhotoshopJiraTestRail+91
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HS

Heetkumar Savaliya

Screened

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

California, USA4y exp
OracleCalifornia State University, Long Beach

“Cloud-native integration engineer (Oracle/OCI) with strong production deployment and incident-response experience, including API gateway rollouts, observability (Prometheus/Grafana), and multi-layer debugging for payments systems. Built Python/FastAPI microservices and automation for customer-specific reporting and data sync, and has delivered major performance gains (45 min to <10) plus reliability improvements (MTTD reduced 40%+) through monitoring, playbooks, and resilient integration patterns (streaming/queuing, retries, secure tokens, VPC peering).”

PythonJavaJavaScriptReactReduxNode.js+113
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HS

HIMANSHU SHARMA

Screened

Mid-level AI Solutions Engineer specializing in enterprise GenAI and automation

Orlando, FL6y exp
Kore.aiUniversity of South Florida

“Built and shipped multiple production LLM/agentic systems, including an agentic RAG NL-to-SQL analytics app that cut manual reporting from 9 hours/week to 15 minutes by grounding on schema-aware retrieval and robust fallback/monitoring. Also implemented a LangChain supervisor-orchestrated enterprise IT automation agent that routes requests for search, identity validation, and action execution, and created a RAG search tool spanning Jira/Confluence/SharePoint for operations stakeholders.”

PythonPyTorchTensorFlowScikit-learnHugging Face TransformersSQL+121
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NP

Namruth Potla

Screened

Senior .NET Software Engineer specializing in enterprise web applications

Dallas, TX5y exp
WalmartNorthwest Missouri State University

“Backend engineer with Walmart experience owning Python data-processing/integration services alongside ASP.NET Core. Has deployed containerized services to Kubernetes via OpenShift with Jenkins CI/CD and GitOps-style config management, and has led phased migrations modernizing VB6/classic ASP apps to ASP.NET Core on OpenShift/Azure. Also implemented Kafka-based real-time pipelines with a focus on reliability, idempotency, and observability.”

AJAXAgileAzure DevOpsBitbucketBootstrapC#+141
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SD

Sravanti Dandu

Screened

Mid-level Cloud Engineer specializing in AWS & Azure infrastructure automation

Arizona, USA6y exp
American ExpressNorthern Arizona University

“Backend/platform engineer (American Express) who built a Flask-based orchestration layer to automate infrastructure provisioning and integrated Azure AD/JWT RBAC security. Strong in PostgreSQL/SQLAlchemy performance optimization (70%+ query-time reduction) and scalable async/event-driven architectures, including ML inference pipelines (SageMaker/Azure ML/Hugging Face) and high-throughput job queues (Celery/Redis) with reliability patterns like DLQs and idempotency.”

Amazon API GatewayAmazon CloudFrontAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon ECS+183
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