data engineering , graph databases , object storage , AWS Glue, Data Modeling, Warehousing, column-family databases, data stores, key-value stores, IAM roles and permissions, non-relational databases, ETL pipelines

graph databases , object storage , AWS Glue, Data Modeling, Sql, Non-relational databases, IAM roles and permissions, Key-value stores, Column-family databases, ETL pipelines

graph databases , object storage , Distributed Computing, AWS Glue, Data Modeling, Big Data Technologies, Sql, Non-relational databases, Column-family databases, Key-value stores, IAM roles and permissions, ETL pipelines

graph databases , object storage , Distributed Computing, AWS Glue, Data Modeling, Big Data Technologies, Sql, Non-relational databases, Column-family databases, Key-value stores, IAM roles and permissions, ETL pipelines

cloud platform , Big Data (Hadoop, Hive), python, Gcp, Pyspark, Spark

Sql, Databricks, Shell scripting, Data Warehousing, Yarn, Apache Spark, Apache Hadoop, HBase, Presto, Pyspark, Kafka, Hive, Python, Jenkins, Git, Scala, ETL methodologies, Distributed computing principles, Flink, HDFS, Azure HDInsight, AWS EMR, NoSQL databases, Google Cloud Dataproc