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Vetted Azure Blob Storage Professionals
Pre-screened and vetted.
Mid-level Full-Stack Engineer specializing in Java/Spring microservices and modern web apps
Mid-Level Backend Software Engineer specializing in cloud-native microservices and healthcare interoperability
Senior Data Analyst specializing in healthcare, insurance, and financial analytics
Mid-level DevOps Engineer specializing in cloud infrastructure and Kubernetes
Mid-level Business Analyst specializing in BI, predictive analytics, and operations
Mid-level Software Engineer specializing in cloud-native microservices and Healthcare IT
Senior .NET Developer specializing in cloud-native microservices and modern web apps
Naresh Vemula
Mid-level Data Engineer specializing in Cloud & Big Data ETL/ELT
“Data engineer in financial services (Northern Trust) who has worked across ingestion, transformation, data quality, orchestration, and serving on AWS (S3/Glue/EMR) with Airflow. Highlights include processing ~15M transactions with validation/anomaly detection for regulatory reporting and improving Snowflake query performance by 27% for risk/compliance reporting. Also built a personal real-time streaming service (FastAPI, Kafka, Redis, Cassandra) and uses production reliability patterns like blue-green/atomic swaps and robust retry strategies.”
Senior Azure DevOps / SRE Engineer specializing in cloud infrastructure automation
Senior .NET Full-Stack Developer specializing in cloud-native microservices
Sravani Gangaraju
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
“Built and deployed a production NLP sentiment analysis system at Piper Sandler to turn noisy, finance-specific customer feedback into scalable insights. Demonstrates strong end-to-end MLOps: fine-tuning BERT, improving label quality, monitoring for language drift, and automating retraining/deployment with Airflow and Docker (plus Kubeflow exposure).”
“Built and operated end-to-end legal-document data pipelines fed by hundreds of scraper sources, emphasizing data quality validation, reliability (CloudWatch monitoring/alerting, retries, backfills), and serving enriched legal data via serverless AWS APIs (Lambda/API Gateway). Experienced in keeping API contracts stable with additive versioning practices and shipping MVPs quickly with CI/CD and observability in place.”
Senior DevSecOps/Cloud Engineer specializing in CI/CD and Infrastructure as Code
Senior .NET Full-Stack Engineer specializing in enterprise web apps and cloud platforms
Senior Cloud DevOps/SRE Engineer specializing in Azure and Kubernetes
Mid-level Machine Learning Engineer specializing in LLMs, Generative AI, and MLOps
Mid-level Full-Stack Software Developer specializing in cloud microservices and healthcare interoperability
Ketan Kshirsagar
Mid-level Business Analyst specializing in data analytics and BI
“Healthcare analytics professional with hands-on experience turning messy claims, eligibility, and utilization data into validated BI-ready models using SQL and Python. They combine strong data engineering and KPI design skills with stakeholder-facing delivery, including Power BI prototyping, retention metric operationalization, and analyses that supported care management interventions and cost-control decisions.”
Anant Jain
Mid-Level Full-Stack Software Developer specializing in React, TypeScript, and Azure
“Frontend-focused engineer who has delivered an end-to-end React SPA with a .NET 9 backend on Azure, deploying via Azure Container Apps and leveraging zero-downtime deployment slots. Built complex TypeScript UI flows (10-page form with global/partial save and custom validation) using Redux + MUI integrated from Figma, and emphasizes quality with RTL/Vitest plus Selenium automation (~95% coverage) and analytics-driven iteration (Heap, Alida, GTM).”