graph databases , Kafka, Tableau, Nosql, Agile, Scrum, Python, Java, Rust, Hadoop, Scala, Micro Services, Kotlin, Sql, Data Warehouse Concepts, Spark, Flink, recommenders, R, machine learning model development environment, ETL processes, Information Security principles, Arrow, optimized data pipelines, dimensional data models

probability , stream processing , Java, Scala, Big Data, Sql, Hive, Pytorch, Neo4j, XGBoost, Spark, Python, UTXO vs Account models, scikit-learn, graph theory, GNN, PageRank, Optimization, smart contracts, Trino, community detection, cross-chain bridges, linear algebra

proxmox , OpenStack, Cloud, Virtualization, Ansible, AWS, Python, Azure, Terraform, Adobe Photoshop, Suse, Javascript, Google Cloud Platform, Platform9, VVols, Blender, Rancher, After Effects, Hypervisors, CSI drivers, VAAI

data warehouses , Etl, Sql, ELT, Big Data Technologies, Apache Spark, Hadoop, Kafka, Data Quality, Python, Data Governance, Data Modeling, Data Lakes, Data Lakehouse architectures

Computer Vision, Deep Learning, Tensorflow, Machine Learning, Opencv, MLops, Pytorch, Cuda, Python, ONNX, Data Pipelines, Multi-sensor Fusion, TensorRT