data warehouses , BigQuery, Machine Learning, System Design, Data Governance, Automation, Sql, Python, Data Pipelines, Data Analysis

Github, Unix, Git, Linux Shell Scripting, Pl Sql, Python, Sql, Aws S3, ETL processes, Oracle databases, Control-M

snowflake , S3, Github, ELT, Apache Airflow, Lambda, Ec2, Kinesis, Aws Cloud, Python, Data Modelling, Hadoop, Scala, Dynamodb, Emr, Redshift, Sql, Erwin, Hive, Cloudwatch, Spark, Linux Unix, Etl, Slowly Changing Dimensions, HDFS, CI CD pipeline development, Glue, Athena, AI tools technologies

Java, Data Security, PostgreSQL, SQL Server, Apache Spark, Data Governance, Sql, Databricks, Data Modelling, Testing Frameworks, Python, AWS, Airflow, Batch and streaming data pipelines, Monitoring and observability tools, Data quality and validation, dbt, CI CD pipelines

snowflake , Apis, Pyspark, Python, Sql, AWS, dbt

Pyspark, Scala, Spark, Databricks, Python, Sql, Airflow, dbt, Delta Lake, Unity Catalog

Workflows, Apis, Cloudformation, Pyspark, Sql, Devops, MLops, Terraform, Spark, Databricks, Azure, Python, AWS, Databricks Lakehouse, dbt

Metadata Management, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture

Gcp, Apache Spark, Databricks, Tableau, Python, Sql, AWS, Airflow, Bitbucket Pipelines, dbt

snowflake , Scala, Apache Spark, Terraform, Azure Synapse Analytics, Apache Kafka, Databricks, Microsoft Azure, Python, DevOps practices, Azure Data Lake Storage, DataOps methodologies