Vetted Azure Synapse Analytics Professionals

Pre-screened and vetted.

SL

Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms

WoodBridge, VA12y exp
Uncommon AnalyticsUniversity of Phoenix
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HK

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

Naperville, IL4y exp
eAlliance CorporationLewis University

Data engineer focused on building reliable, production-grade pipelines and data services end-to-end, including a 50+ GB/day pipeline ingesting from APIs/files into Snowflake with PySpark/SQL transformations. Emphasizes strong data quality controls, monitoring/retries, and performance optimization, and has also shipped a Python data API with caching and backward-compatible versioning.

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shriya Biradhar - Junior Data Analyst & Business Analyst specializing in BI, analytics, and process optimization in Hyderabad, India

Junior Data Analyst & Business Analyst specializing in BI, analytics, and process optimization

Hyderabad, India3y exp
Molveno Consulting Pvt LtdFlorida Atlantic University
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BA

Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines

Roswell, Georgia4y exp
Everest Computers Inc.Wright State University
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Dhanush Chepuri - Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics in Pune, India

Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics

Pune, India4y exp
ARAPLTrine University
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HM

Mid-level Data Scientist specializing in ML, NLP, and Generative AI

Addis Ababa, Ethiopia4y exp
Shewa IncUniversity of Texas at Austin
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NS

namratha sai

Screened

Junior Healthcare Data Analyst specializing in clinical data validation and EHR/claims analytics

Illinois, USA2y exp
Autism Care TherapyRoosevelt University

QA/supplier-performance focused candidate who uses defect and delivery data to spot recurring issues early, identify root causes tied to rushed timelines/high workload, and implement practical process changes (e.g., added validation steps and tightened defect definitions). Emphasizes clear, metric-backed communication to align internal stakeholders and suppliers, then monitors post-change results to confirm sustained improvement.

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