Dynamodb, Databricks, Sql, Apache Airflow, CDK, AWS Glue, Apache Spark, Kinesis, Postgres, Kafka, MLops, AWS, Cassandra, Nosql, Python, Terraform, MongoDB, MLflow, Flink

Kafka, Sql, Gcp, Spark, Databricks, Azure, Python, AWS, Airflow, Unity Catalog, infrastructure-as-code, dbt, Delta Lake

triton , Docker, FastAPI, Restful Apis, Python, Kubernetes, Nosql, Pytorch, Big Data, Sagemaker, document databases, TensorRT, ML technologies

Machine Learning, Distributed Systems, Tensorflow, Pytorch, Predictive Analytics, Python, Big Data, Clustering, Deep Learning, MLops, Spark, GenAI, Telemetry Analytics, Data Pipelines, Random Forests, MLflow, Vector Databases, Time-Series Forecasting, AIOps, LLMs, Production AI Systems, anomaly detection, Cloud Data Architecture, Statistical Modeling

Java, Machine Learning, Distributed Systems, C, Javascript, Scala, Apache Spark, Big Data, Python, Deep Learning

Java, Scala, Kotlin, Spark, Kafka, Hadoop, Flink

snowflake , Kafka, Data Modeling, Kinesis, Terraform, AWS, Cloudformation, Sql, Gcp, Data Governance, Databricks, Azure, streaming tech, MLflow, IaC, Pub Sub, Kubeflow, MLOps tools, RAG pipelines, LangChain, Gen AI frameworks, NoSQL databases, cloud platforms, AI ML architectures, security and compliance frameworks

Machine Learning, Spark, Kafka, Kubernetes, Python, Deep Learning, Generative AI, LLMs, Go-lang, Data Pipeline Design, Container Orchestration

ECS, S3, Cloudformation, Kafka, multi-tenancy, Typescript, Docker, Terraform, Spark, Kubernetes, Python, AWS, Streaming Pipelines, Apache Iceberg, Data Ingestion Frameworks, Data Observability, Data Lakes, Lakehouse Architecture, Go, Flink, Pipeline Monitoring, Security, Data Quality Systems, Data Serving Layers