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

Spark SQL, Adf, Performance Tuning, Pyspark, Kafka, Git, Databricks, Azure, Airflow, HVR, Event Hub, SQL data modeling, CI CD, Unity Catalog, Delta Lake, Fivetran

Power Automate, Power Bi, Sql, Dax, Data Governance, Python, RAG concepts, ML pipelines, Microsoft Fabric, Dataverse, Power Apps

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

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

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

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