data engineering , graph databases , object storage , AWS Glue, Data Modeling, Sql, Python, Warehousing, column-family databases, key-value stores, non-relational databases, ETL pipelines

statistical data analysis , AWS EKS, Java, Hadoop, Pyspark, AWS Glue, Kafka, Spring Boot, Emr, Data Warehousing, Spark, Flask, Databricks, Kubernetes, Python, Data lakes, NoSQL databases, Data frameworks, Flink, ETL data pipelines, Real-time data processing, Data engineering concepts

data vault , snowflake , Metadata Management, Hadoop, Aws Redshift, Data Warehousing, Dimensional Modeling, Data Modeling, Nosql, Erwin, Spark, Data Governance, Etl Tools, Er Studio, Google BigQuery, cloud-based data warehousing solutions, data lakes, data ingestion protocols, Graph data model

snowflake , Gdpr, Github, BigQuery, Google Cloud Platform, Kafka, Sql, ELT, Apache Airflow, Git, Spark, Data Governance, Databricks, Azure, Python, Etl, AWS, CCPA, Pub Sub, dbt

snowflake , Yaml, Docker, Json, Python, Sql, Aws S3, Apache Iceberg, Airflow, Alation, dbt

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

Java, Cloud Computing, Data Management, Scala, Data Governance, Python, Data warehousing principles

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