data engineering , Java, S3, Hadoop, Scala, Nodejs, Big Data Technologies, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, Warehousing, ETL pipelines

Java, S3, Hadoop, Scala, Nodejs, Netezza, Redshift, MS SQL, Ec2, MySQL, Spark, Oracle, Python, AWS, Teradata

Amazon Web Services, Hadoop, Pyspark, Amazon Kinesis, Apache Spark, Kafka, Redshift, Nosql, Data Quality, Data Governance, Python, Structured Query Language, Elastic MapReduce, Relational Database Service, Glue

Spark, Databricks, Python, Pyspark, Azure Data Engineering

Java, S3, Hadoop, Scala, Nodejs, Netezza, Redshift, MS SQL, Ec2, MySQL, Spark, Oracle, Python, AWS, Teradata

data engineering , snowflake , Cloud Architecture, Pyspark, Tableau, Data Governance, Sql, Gcp, Powerbi, Data Integration, Databricks, Excel, Azure, Python, AWS, Cloud-based databases, Synapse, ML pipelines, Data Operations, dbt, Data quality frameworks

Databricks, Github, Apache Spark, Pyspark, Spark SQL, Git, Scala, Microsoft Azure, Azure Data Factory ADF, SQL development and query optimization skills, ETL ELT pipeline development, Azure Data Lake Storage ADLS, Data modeling and data warehousing concepts, Cloud experience, Performance tuning and optimization of Spark applications, Distributed data processing frameworks

Spark, Kafka, Python, Sql, AWS, Team Leadership, cloud platforms

Orchestration, Data Quality, Spark, Kafka, Databricks, AWS, streaming processing, Airflow, lakehouse technologies, data ingestion

data engineering , Java, S3, Hadoop, Scala, Big Data Technologies, Nodejs, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, ETL pipelines