Vetted Microsoft Excel Professionals

Pre-screened and vetted.

Emmanuel Ngalima - Mid-Level Software Engineer specializing in geospatial AI and cloud security automation in San Ramon, CA

Emmanuel Ngalima

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in geospatial AI and cloud security automation

San Ramon, CA5y exp
ChevronUC Merced

Cloud engineer and cloud OS SME (Chevron) who productionized large-scale security remediation—using Tanium and Ansible to address CIS benchmark noncompliance across 5,000+ servers with robust logging and RCA handoffs. Also drives adoption of a geospatial AI refinery inspection product by consolidating siloed imagery into an enterprise geospatial database, and presents internally on agentic/LLM tooling (LangChain/LangGraph, LangSmith observability).

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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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CB

Cortney Baddger

Screened ReferencesStrong rec.

Senior marketing campaign manager specializing in lifecycle and channel marketing

Orlando, FL12y exp
Marriott Vacations WorldwideLouisiana State University Shreveport

Senior CRM/lifecycle marketer with hands-on experience owning campaign operations, segmentation, QA, testing, and performance analysis across tools like Infor, Salesforce, Adobe, and Constant Contact. They’ve led multi-channel growth initiatives tied to measurable business outcomes, including a 35% lift in engagement/response and experimentation programs that improved CTR, participation, and cost efficiency. Holds an MBA and highlights experience supporting global-scale campaigns reaching 126 million contacts.

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RR

Mid-level Data Scientist specializing in financial ML, NLP, and MLOps

San Diego, CA5y exp
Morgan StanleySan Diego State University
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JF

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

Remote5y exp
EmerjenceBoston University
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DS

Dylan Swimmer

Screened ReferencesModerate rec.

Entry-level Investment Banking Analyst specializing in technology and cybersecurity software

Los Angeles, CA1y exp
William BlairLoyola Marymount University

Venture/accelerator-style investor operator with hands-on experience sourcing founders via LinkedIn and events, running screening calls, and moving qualified startups into diligence. Uses AI and startup databases (Claude, Perplexity, Product Hunt, Crunchbase) alongside Salesforce/HubSpot to manage a fast-moving pipeline, targeting 100–200 outbounds per week and converting into regular founder conversations.

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JG

Jon Gantvoort

Screened ReferencesModerate rec.

Senior Sales Development & Talent Leader specializing in outbound pipeline and team coaching

Walnut Creek, CA11y exp
RipplingSonoma State University

Senior/Team Lead SDR at Rippling with top performance (President’s Club FY2025), credited with sourcing the largest closed-won deal in company history and generating $7.95M pipeline / $2.45M closed-won. Previously spent ~8 years in full-cycle recruiting across internal (Hyatt) and agency (Randstad, Kforce) including tech/finance, known for data-driven stakeholder management and persistence on difficult searches (e.g., hard-to-fill Linux Engineer role resulting in offer and later FTE conversion).

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JB

Johanna Bernal

Screened ReferencesStrong rec.

Mid-level Merchandising & Inventory Planning professional specializing in lighting and home retail

Remote6y exp
LumensSan Diego State University

Merchandising/sourcing professional from World Market with deep experience building and optimizing home/fashion partnerships end-to-end—using tariff-driven margin pressure to shift sourcing outside China while maintaining design elevation. Highly metrics-driven across OTB, SKU productivity, margin/IMU, full-price sell-through, attachment rate, and digital conversion, and comfortable managing 50+ vendor negotiations simultaneously.

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VV

Vaishnavi Veerkumar

Screened ReferencesStrong rec.

Mid-level AI Engineer specializing in GenAI and RAG systems

Boston, MA4y exp
VizitNortheastern University

AI engineer who built a production e-commerce system that analyzes product images alongside sales and demographic data to generate actionable creative recommendations, now used by 20+ clients. Also built orchestrated document/agent pipelines (Airflow, LangGraph) including a compliance drift detector auditing 401 compliance documents, with an emphasis on traceability, logging, and production integration.

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Steven Zavala - Director-level growth marketer specializing in DTC e-commerce and CPG in Los Angeles, CA

Steven Zavala

Screened ReferencesStrong rec.

Director-level growth marketer specializing in DTC e-commerce and CPG

Los Angeles, CA10y exp
Full Glass Wine CompanyUC Santa Barbara

Lifecycle/CRM marketing leader from the wine and beverage space who has owned high-volume email/SMS programs end-to-end and translated CRM insights into broader revenue strategy. Stands out for combining rigorous process design, cross-channel automation, and personalization testing to drive measurable gains, including a 45% lift in incremental email revenue and $1.6M in incremental on-site upsell/cross-sell revenue.

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Rachel Downey - Mid-Level Game Designer specializing in systems and economy design in Livermore, California

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.

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HT

Harprit Turner

Screened ReferencesModerate rec.

Senior Project Manager specializing in SaaS implementations across Healthcare IT and FinTech

Dallas, TX20y exp
Connect Tech CommunicationsMetropolitan State University

Implementation project manager with 10+ years delivering complex SaaS programs in healthcare and fintech, including payment integrations, onboarding, migrations, and operational/clinical workflow initiatives. Has owned 4-6 concurrent enterprise implementations at CVS and Fiserv, with strong executive reporting, governance, and cross-functional delivery through go-live.

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SM

Syed Muhammad Aun Jafri

Screened ReferencesStrong rec.

Mid-level GTM Strategy & RevOps professional specializing in sales operations

New York City, NY5y exp
MotiveBilkent University

Startup operator with experience spanning Series D scale-up GTM strategy at Motive and earlier-stage marketplace operations at Fleek and BridgeLinx. Stands out for building operating infrastructure, redesigning sales compensation, and automating leadership reporting with measurable impact, including 12% sales efficiency gains, 40% less reporting overhead, and 9% better rep performance.

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AA

Abnik Ahilasamy

Screened ReferencesModerate rec.

Intern LLM/GenAI Engineer specializing in RAG, agentic systems, and low-latency inference

Chennai, India0y exp
Larsen & ToubroArizona State University

Interned at Larsen & Toubro where they built and deployed an agentic RAG document question-answering system to reduce time spent searching documents and improve trustworthiness. Implemented ReAct-style multi-step orchestration with LangChain/LlamaIndex plus evidence-bounded generation, grounding/citations, and rigorous evaluation—cutting latency ~40%, hallucinations ~35%, and unsafe outputs ~40% while collaborating closely with non-technical business/ops stakeholders.

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JW

Justin Warner

Screened

Executive Merchandising & Brand Strategy Leader in Fashion, Beauty & E-commerce

Los Angeles, CA22y exp
AmazonFashion Institute of Technology

Fashion buyer/category manager with end-to-end ownership of Shopbop’s evening business, using Excel-driven classification and pricing tier analysis to uncover demand opportunities and deliver +20% above annual sales target on higher margin. Experienced negotiating vendor sell-through agreements (e.g., Marchesa Notte) and using RTV to reduce inventory risk while maintaining full-price selling; also has a track record coaching buyers to drive incremental revenue (e.g., $350K unplanned full-price sales via an exclusive delivery).

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JF

Jack Fischer

Screened

Senior Hockey Video & Strategy Analyst specializing in player development and scouting

Chicago, IL9y exp
Prodigy HockeyProvidence College

Hockey analytics and scouting professional who started in college doing video tracking for an analytics vendor contracting with NHL teams, then evaluated amateur prospects with the Chicago Blackhawks. Currently with Prodigy, delivering data-plus-video player development support (Zoom reviews, strengths/areas-to-improve clips) and has driven measurable improvement for a Chicago Mission U14 client, leading to renewed engagement.

Microsoft ExcelData analysisProject managementSportsCodeHockey video analysisPlayer development planning+26
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AY

Aaron Yaspan

Screened

Senior Marketing Manager specializing in digital marketing, PPC/SEO, and multi-channel campaigns

16y exp
Unibail-Rodamco-WestfieldNortheastern University

Brand and growth marketer with experience refining Unibail-Rodamco-Westfield’s brand across 62+ mall locations, using family-focused event programming to increase attendance and tracking results via ticket sales and website sign-ins. Brings 15 years in the entertainment/music/creator ecosystem, including artist representation and label deal experience, and applies that partnership mindset to multi-channel campaigns (owned web + third-party sites) and SEO-driven acquisition.

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ST

Mid-level AI/ML Engineer specializing in GenAI and predictive modeling

Fullerton, California5y exp
UnitedHealth GroupGeorge Washington University

Built and deployed a GPT-4-powered medical assistant for clinical staff to reduce time spent searching guidelines and EHR information, with a strong emphasis on safety and compliance. Uses strict RAG, confidence thresholds, and fallback behaviors to prevent hallucinations, and runs production-grade workflows orchestrated with LangChain/LangGraph plus Docker/Kubernetes/MLflow and monitoring for reliability and cost.

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HS

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).

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SS

Shubham Singh

Screened

Senior Software Engineer specializing in cloud-native microservices and healthcare integrations

USA6y exp
CVS HealthIndiana University Bloomington

Backend engineer at Cerebrone.ai building cloud-native Flask microservices for an AI-driven automation platform on GCP (Cloud Run/App Engine), including dedicated inference services integrating OpenAI and internal ML pipelines. Demonstrated strong performance and scalability wins across Postgres/SQLAlchemy optimization, multi-tenant (healthcare/HIPAA-grade) data isolation, and high-throughput background processing with Celery/Redis/RabbitMQ, with multiple quantified latency/CPU/throughput improvements.

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PP

Director-level HR Leader specializing in benefits, compliance, and HRIS/ATS implementations

Homer Glen, IL10y exp
Korn FerryLewis University

Fractional HR/People Ops leader specializing in early-stage startups scaling rapidly without existing infrastructure. Has implemented ADP HRIS, standardized onboarding/recruiting/benefits/performance systems, and built multi-state compliance foundations—driving measurable outcomes like ~40% faster onboarding, time-to-hire reductions (56 to 34 days), and +12% retention while enabling founders to run processes independently.

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AK

Mid-level Data & AI Engineer specializing in data engineering, analytics, and LLM/RAG apps

San Francisco Bay Area, CA5y exp
VerizonCalifornia State University

Built a production RAG-based “unified assistant” that consolidates siloed company documents into a single chatbot while enforcing fine-grained access control via RBAC/metadata filtering with OAuth2/JWT. Experienced orchestrating LLM workflows with LangChain/LangGraph + FastAPI (async + caching) and measuring performance via retrieval accuracy and response-time SLAs. Also delivered a churn analytics solution with dashboards and automated retention campaigns using n8n.

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SN

Mid-level Software Engineer specializing in data engineering on GCP

Bentonville, AR3y exp
WalmartLehigh University

Data engineer with hands-on experience migrating a legacy/mainframe-fed loader onto GCP, orchestrating daily SFTP-to-GCS ingestion, Spark/Scala transformations, and loading into Cassandra/Solr/OpenSearch with API- and BigQuery-based validation. Also built a Java Spring Boot service that extracts from Hive and produces Excel outputs, emphasizing testing, logging/alerts, and CI setup.

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RG

Mid-level Talent Acquisition Partner specializing in high-volume recruiting and ATS implementations

Remote, USA6y exp
OneTenMiddlesex University

Recruiting professional with 2019–2024 experience managing 10–30 clients and 20+ concurrent requisitions, spanning contingency through executive hiring (sourcing) including work with Wipro’s executive hiring team. Known for operational rigor (ATS/Excel/dashboards, Asana/Salesforce) and high-touch candidate follow-up to keep BGV, drug tests, and I-9 steps on track, plus scaling delivery by coordinating 15+ vendors.

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