data sharing , semantic modeling , snowflake , Java, Scala, Kafka, Sql, Kinesis, Spark, Python, cloud data warehouses, Iceberg, Query Performance, Delta, dbt, MetricFlow

containerization , Java, Hadoop, HBase, Sql, ELT, Git, Hive, Spark, Python, Etl, data pipelines, orchestration tools, data-quality frameworks, observability tools, Trino, ML services

Power Bi, Power Automate, Data Modeling, Data Governance, Sql, Dax, Python, Monitoring and testing, Power Apps, Dataverse, RAG concepts, ML pipelines, GCP BigQuery, Microsoft Fabric

Sql, Oracle Pl Sql, Automation Tools, Shell scripting, Rest Apis, Python, ODBC database loaders, Multi-server automation, LLM-based coding agents, Django or similar backend frameworks, Linux-based development and automation, Database-backed applications, Log analytics tools, AI-assisted development tools, Git or similar version control systems, Relational Databases, Data pipelines, Splunk or observability tools

packet capture , Rust, Wireshark, Linux, Python, Jenkins, Git, XDP, DPDK, Zeek, eBPF, Suricata

snowflake , Data Quality, Databricks, Emr, Tensorflow, Kafka, Pytorch, Terraform, Apache Spark, Kinesis, Presto, Distributed Systems, AWS, Kubernetes, Cloud Infrastructure, Docker, Security, Airflow, dbt, Flink, real-time streaming architectures, model serving, LLM hosting, Trino, MLOps tools, Ray, Kubeflow, Infrastructure-as-Code, Redpanda, Governance, data platforms, observability

PostgreSQL, Redshift, MySQL, Performance Monitoring, AWS, Query optimizers, Transaction isolation, Execution plans, Performance tuning and optimization, Statistics, Workload modeling, Infrastructure as Code using Terraform, Aurora, Iceberg, Capacity Planning, Database-backed APIs, Cost Optimization, Indexing

Liquibase, Python, Gcp, Terraform, Jenkins, Git, Cloudwatch, Database observability metrics, Index strategies, Azure Monitor, SQL execution plans, Database Performance Optimization, Partitioning, Flyway, Memory allocation