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Vetted Data Modeling Professionals
Pre-screened and vetted.
Mid-level Backend Software Engineer specializing in cloud databases
Staff/Lead Backend Engineer specializing in distributed systems, data platforms, and FinTech
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Senior Full-Stack Software Engineer specializing in real-time platforms and AI-driven experiences
Senior Product Engineer/Manager specializing in data-driven product and systems operations
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Executive AI & Technology Leader specializing in enterprise data, GenAI, and digital transformation
Technology Executive specializing in AI-native engineering and cybersecurity governance
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Executive Operations Leader specializing in healthcare, pharmacy, and fulfillment scale-ups
Intern Business Analyst specializing in product analytics and business intelligence
Mid-level Data Engineer specializing in cloud lakehouse platforms (Azure/AWS/Snowflake)
Senior Software Engineer specializing in cloud-native healthcare and financial services
Executive Platform & Cloud Technology Leader specializing in FinTech and AI-enabled platforms
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Mid-Level Software Engineer specializing in cloud-native backend and distributed systems
Principal Software Engineer specializing in distributed systems and cloud microservices
Nick Stefanelli
Executive IT Leader specializing in enterprise modernization, ERP/PLM, and cybersecurity
“Execution-focused technology leader and consultant who architects and implements core business systems (ERP/GL, Azure/M365, Google Workspace) and infrastructure to help organizations scale. Has supported growth from 0 to 55M and operated in a 250M+ environment, including standardizing hardware and deploying Intune/Jamf MDM to enable 10+ new retail store openings with consistent POS infrastructure.”
Sanketh Reddy
Senior Data Engineer specializing in cloud data platforms and large-scale ETL
“Data engineer focused on large-scale ETL/ELT pipelines across cloud stacks (GCP and AWS), including Spark-based transformations and orchestration with Airflow. Has experience loading up to ~2TB per BigQuery target table and designing atomic loads to multiple downstream systems (Elasticsearch + Kafka), with Kubernetes deployment and Jenkins CI/CD.”
Vikas Ravula
Senior Data Engineer specializing in cloud data platforms and real-time streaming for financial services
“Data engineer with experience at Bloomberg, UBS, and Bank of America building high-volume financial data platforms and services. Owned an end-to-end pipeline processing ~150–200M records/day (Kafka/Cassandra/S3 → Spark/PySpark → Snowflake) with strong data quality controls and Airflow reliability practices, reporting ~99% reliability and major performance gains. Also built large-scale external API ingestion with compliance-minded rate limiting, schema versioning, and quarantine/validation layers.”