Vetted ETL Professionals

Pre-screened and vetted.

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Alfred Dwan

Screened

Intern Software Engineer specializing in AI, cloud-native systems, and MLOps

Hong Kong, China1y exp
PredictXNYU

Backend/full-stack engineer who has owned a production recruiting platform end-to-end (TypeScript/Node microservices for scraping/cleaning/serving job data, RabbitMQ for spike handling, MongoDB + Elasticsearch, AWS containers) with pragmatic CI, logging/alerts, and Docker Compose E2E tests. Also operated high-traffic event pipelines during a Binance internship using Kafka + Redis idempotency, with strong observability and failure-mode/rollback/degradation practices, and has experience designing developer-friendly REST APIs and resilient browser automation for E2E flows.

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TD

Thuc Duong

Screened

Senior Data Engineer specializing in AI-driven GTM analytics and LLM evaluation

Long Island City, NY5y exp
MetaTemple University

Data/analytics engineer who stood up foundational pipelines and services at Meta for the Ray-Ban Meta launch—building a retailer sales ingestion system (S3/Hive) with rigorous DQ checks, 1-day SLAs, and dimensional rollups used by GTM to track sales trends. Also built a modular multi-retailer web-scraping system for out-of-stock alerts and shipped internal GraphQL APIs and an n8n-like workflow builder using serverless (AWS Lambda) with strong testing and observability practices.

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kartik kanotra - Mid-level Software Developer specializing in cloud data engineering and MLOps in NYC, New York

Mid-level Software Developer specializing in cloud data engineering and MLOps

NYC, New York3y exp
AmazonNYU

Software engineer with strong AWS production experience, including an end-to-end historical backfill system exporting ~10PB of CloudWatch logs into a data lake using Step Functions/Kinesis/Lambda/Firehose/Glue. Emphasizes reliability and operability (DynamoDB checkpointing, monitoring dashboards, CI/CD with canary tests) and has also built customer-facing UI work for the Visa Developer Portal using Angular + Spring Boot, plus React/Redux frontend work.

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Jim Glassman - Executive Technology Leader specializing in Enterprise AI, Cloud Architecture, and Data Platforms in Houston, TX

Jim Glassman

Screened

Executive Technology Leader specializing in Enterprise AI, Cloud Architecture, and Data Platforms

Houston, TX16y exp
IBMOhio State University

Senior data/technology executive who stays hands-on: currently building a Go micro-kernel orchestration layer for medical AI agents to boost concurrency and enforce HIPAA/PHI controls, achieving 26x throughput on migrated workloads. Has led large-scale transformations across healthcare and financial services, including a 45-day data warehouse rebuild at Elara Caring and a data/ML roadmap at Acelity credited with $230M in annual revenue impact prior to 3M acquisition.

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Amrit Depaulo

Screened

Executive CTO specializing in AI/ML platforms and enterprise SaaS engineering leadership

San Francisco, CA30y exp
Delos Insurance Solutions

CTO-level leader with deep insurtech and cloud security/SaaS experience who has repeatedly scaled global engineering orgs and delivered high-velocity roadmaps. Most recently led Delos Insurance Solutions to launch new homeowners programs for wildfire-prone regions every 3–4 weeks while meeting DOI/SLA requirements, driving $135M GWP and $250M capacity and reaching cash-flow positive. Also led major scalability re-architecture at CloudPassage (Postgres to Cassandra + Kafka) and built a large Estonia-based engineering hub at Cybercube.

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MS

Mid-level Software Development Engineer specializing in cloud platforms, data engineering, and LLM apps

Dublin, Ireland3y exp
AmazonGuru Gobind Singh Indraprastha University
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RB

Senior AI/ML Engineer specializing in scalable cloud ML systems

Seattle, WA14y exp
BCGPortland State University
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Rahul Chilukuri - Mid-level Full-Stack Developer specializing in cloud-native microservices and FinTech in Tampa, FL

Mid-level Full-Stack Developer specializing in cloud-native microservices and FinTech

Tampa, FL5y exp
IBMSaint Leo University
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ZZ

Intern AI/ML Engineer specializing in LLM agents, RAG, and computer vision

San Jose, CA2y exp
EZSVS USAUC Berkeley
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TR

Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and on-device ML

CA, USA5y exp
AppleTexas Tech University
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Yu Li - Mid-Level Software Development Engineer specializing in cloud microservices and retail systems in Reston, VA

Mid-Level Software Development Engineer specializing in cloud microservices and retail systems

Reston, VA5y exp
WalmartUniversity of Colorado Boulder
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Aarvin George - Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native AI systems in Pittsburgh, PA

Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native AI systems

Pittsburgh, PA3y exp
Allegheny General HospitalCarnegie Mellon University
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AY

Mid-level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms

6y exp
Activision BlizzardUniversity of North Texas
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RK

Senior Backend Engineer specializing in scalable AWS serverless and data pipelines

Sunnyvale, CA9y exp
AmazonUniversity of Oregon
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SL

Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices

Remote14y exp
CitigroupUniversity of Pennsylvania
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RP

Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting

KS, United States12y exp
TargetKansas State University
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TM

Mid-level Business Analyst specializing in data analytics and financial systems

Dublin, CA4y exp
BNY MellonUniversity of Wisconsin–Madison
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MD

Mid-level Software Engineer specializing in backend systems and AR/VR sensor calibration

California, United States5y exp
GoogleIndiana University Bloomington
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DK

Senior Customer Success & Technical Account Leader specializing in AI/ML infrastructure

Pleasanton, CA19y exp
Lightning AIUC Berkeley
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UY

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

California, USA6y exp
NetflixSacred Heart University
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CC

Intern Software Engineer specializing in full-stack and distributed systems

Seattle, WA0y exp
StarbucksHarvard University
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