Rust, Storm, Cassandra, Cloudformation, Kafka, Dataproc, Devops, Gcp, shell scripting, Terraform, Elasticsearch, Spark, Amazon Rds, Python, AWS, Infrastructure as Code, AWS EMR, ElastiCache, Go, Flink, Cloud SQL, Site Reliability Engineering

data engineering , Apache Spark, Machine Learning, Kubernetes, Apache Iceberg, Vertex AI, Ray, Airflow, Kubeflow, Flink, ML Ops platforms, Frontier AI models, SageMaker, MLFlow, Jupyter Notebooks, NVIDIA Workbench, ML Platform Development

tokenization , Machine Learning, Git, Docker, Rest Apis, Python, AWS, embeddings, vector databases, Anthropic, prompt engineering, LLM APIs, AI-assisted development tools, GenAI ecosystem, OpenAI, RAG architectures

data engineering , Predictive Analytics, Distributed Systems, MLops, Cloud-native architecture, Analytics engines, Telemetry-driven insights, Cloud platforms, Model serving and inference platforms, Generative AI, AI systems engineering, High-throughput data pipelines

Ml, Java, Aws Cloud, Kubernetes, Python, Generative AI, open-source frameworks, Ai, AI agent frameworks, High Performance distributed architecture

snowflake , BigQuery, Dynamodb, Emr, Redshift, Aerospike, Spark, AWS, Airflow, Real-Time vs Batch Data Processing, Cleanroom, cloud data architectures, Data Table Format, Iceberg, Hudi, Scylla, Data Lakehouse, Delta, batch real-time data processing systems, High throughput distributed system APIs, Zero-Copy Data Sharing