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Vetted Azure Data Factory Professionals
Pre-screened and vetted.
Hari Chandana Bandreddi
Mid-level Data Engineer specializing in cloud data platforms and ETL automation
“Data engineer who has owned high-volume production pipelines end-to-end (200–300 GB/day) on AWS, implementing strong data quality/observability and achieving 99.9% reliability while cutting data issues ~33%. Also built a large-scale external data collection system ingesting millions of records/day with anti-bot/rate-limit handling and backfill tooling, and shipped a versioned REST service exposing curated Snowflake data to downstream teams.”
Brian Daddino
Director-level software engineering leader specializing in IoT, cloud architecture, and enterprise systems
“Senior engineering leader who says he spent the last 7 years implementing rather than planning, including building a one-person engineering function into a fully operational department with standards, KPIs, Scrum, QA, and automation. He also designed the full technical ecosystem across application, backend, enterprise architecture, ETL, IoT, and CI/CD, and has additional exposure to VC-backed environments and M&A integration leadership.”
Aashi Sethiya
Mid-level Business Analyst specializing in healthcare and data analytics
“Analytics-focused candidate with hands-on experience building SQL and Python pipelines for messy, high-volume data across e-commerce, marketing, healthcare, and regional resource allocation use cases. Particularly strong in turning ambiguous business problems into operational metrics and trusted Power BI reporting, including CLV, patient retention, and vulnerability-based segmentation.”
Srisailam Gitte
Mid-level Data Analyst specializing in ETL pipelines and business intelligence
“Analytics-focused candidate with hands-on experience building compliance and contract utilization reporting from messy contract, vendor, subcontractor, and payment data. They combine SQL and Python automation to improve reporting speed and accuracy, and show strong stakeholder discipline through validation sessions, documentation, and dashboard adoption.”
Mid-level Software Engineer specializing in AI/ML and Data Engineering
Mid-level CRM & Lifecycle Marketing Specialist specializing in Dynamics 365 and multi-channel campaigns
Mid-level Data Analyst specializing in AML, fraud detection, and cloud data pipelines
Mid-level Software Engineer specializing in AI and backend systems
Senior Software Architect/Lead specializing in IoT, Big Data streaming, and cloud microservices
Mid-Level Software Engineer specializing in backend microservices and cloud infrastructure
Mid-level Software Engineer specializing in Python backend and full-stack web systems
Mid-level Data Analyst specializing in business intelligence and analytics
Mid-level AI/ML Engineer specializing in LLM systems, MLOps, and real-time fraud detection
Junior Software Developer & Systems Engineer specializing in automation, testing, and cloud
Mid-level Python Backend Engineer specializing in APIs, data engineering, and AI/ML
Mid-level Data Scientist/AI Engineer specializing in cloud LLMs, NLP, and scalable data pipelines
Mid-level AI/ML Engineer specializing in cloud MLOps and real-time data pipelines
Senior Data Engineer specializing in Azure/AWS lakehouse and real-time analytics
Mid-level Data Engineer specializing in Microsoft Fabric and Azure Lakehouse platforms
Mid-Level Full-Stack .NET Developer specializing in cloud-native healthcare applications