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Vetted Azure Synapse Analytics Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud lakehouse platforms (Azure/AWS/Snowflake)
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Senior Software Engineer specializing in data engineering, BI analytics, and AI/ML
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.”
Mid-Level Software Engineer specializing in AI, distributed systems, and cloud-native full-stack development
Mid-level Marketing Analyst specializing in digital marketing analytics and omnichannel attribution
Senior Software Engineer specializing in cloud platforms, Kubernetes, and real-time streaming
Senior Data Engineer specializing in cloud data platforms and scalable ETL pipelines
Mid-level Data Engineer specializing in real-time streaming and ML feature pipelines
Mid-level AI/ML Engineer specializing in generative AI and data engineering
Mid-level AI & Machine Learning Engineer specializing in computer vision and MLOps
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics
Senior Data Engineer specializing in cloud lakehouse platforms and healthcare data
Mid-level AI Data Engineer specializing in real-time streaming and LLM-powered fraud analytics
Senior Data Analyst specializing in healthcare and financial analytics
Senior Data Engineer specializing in cloud data platforms and big data pipelines
Sahithi S
Mid-level AI/ML Engineer specializing in NLP, MLOps, and Generative AI
“Built and deployed a production generative AI chatbot at NVIDIA using LangChain + GPT-3 integrated with internal data sources, cutting response time nearly in half and improving CSAT by ~12 points. Also delivered LLM-driven QA tools by fine-tuning Hugging Face transformer models and deploying via an AWS-based pipeline (Lambda/Glue/S3) with orchestration (Airflow/Step Functions), CI/CD, Kubernetes, and monitoring (MLflow/Splunk/Power BI).”
Sahithi K
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
“Data engineer with experience at Moderna and Block owning high-volume (≈10TB/day) production pipelines on AWS, using Kafka/S3/Glue/dbt/Snowflake with strong data quality and observability practices (schema validation, anomaly detection, CloudWatch monitoring). Also built external financial API ingestion with Airflow retries, throttling/token rotation, and schema versioning, and helped stand up an early-stage biomedical data platform with CI/CD and incident debugging.”