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Vetted Apache Cassandra Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in cloud-native microservices and AI/ML
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Full-Stack Engineer specializing in cloud-native systems and event-driven architectures
Mid-level Machine Learning Engineer specializing in NLP, federated learning, and fraud detection
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Full-Stack Python Engineer specializing in Django, microservices, and cloud platforms
Staff-level Backend Engineer specializing in distributed data platforms and AI infrastructure
Senior Solutions Architect specializing in cloud infrastructure, AI/LLM security, and data platforms
Technology Executive specializing in AI-native engineering and cybersecurity governance
Staff Software Engineer specializing in enterprise SaaS, AI assistants, and distributed systems
Mid-level Full-Stack Software Engineer specializing in AI-driven web applications
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Mid-level Backend Engineer specializing in microservices and event-driven systems
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
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Senior Software Engineer specializing in distributed systems and cloud-native microservices
Senior Software Engineer specializing in data engineering, BI analytics, and AI/ML
Principal Software Engineer specializing in distributed systems and cloud microservices
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.”