ETL frameworks, scripting languages for data manipulation and automation, cloud-based data storage and processing platforms, Microsoft Azure Databricks, data pipeline architecture, data quality assurance and validation techniques

Java, S3, Hive, Scala, Spark, Spring Boot, Data Governance, Mapreduce, HDFS, Data Validation, data pipeline architecture

snowflake , Hadoop, Data Modeling, Agile Methodologies, Apache Spark, Kafka, Sql, ELT, Git, Gcp, Spark, Data Warehousing, Databricks, Azure, Python, AWS, Etl, Airflow, Data Lakes, Cloud Platforms

Github, Google Cloud Platform, Pyspark, Data Warehousing, Sql, Microservices, Devops, Data Governance, Microsoft Azure, Databricks, Python, AWS, automated web services, AI technologies, ETL processes, Data Validation