Data Warehousing, Data Governance, Data Modeling, Python, Sql, ELT, Etl, data quality best practices

snowflake , S3, Csv, Pyspark, Pl Sql, Sparksql, Json, Sql, Apache Airflow, Lambda, Aws Cloud, Abinitio ETL, Parquet, DataFrames, Iceberg, RDD, Data ingestion, Lake Formation, dbt, Glue, Snowflake Tasks, Athena, AWS Data Analytics Technology Stack

Hadoop, Emr, Data Modeling, Informatica, Bodi, SSIS, Sql, ELT, Hive, Odi, Datastage, Spark, Python, Etl, Warehousing, KornShell

S3, Data Modeling, Hadoop, AWS Glue, Emr, Redshift, Sql, ELT, Lambda, Hive, Kinesis, Spark, Python, Etl, FireHose

Apache Spark, Python, Apache Iceberg

Data Management, Pyspark, Spark, Palantir Foundry, Data Analysis

Azure Data Factory, Power Bi, Azure Data Lake, Azure Databricks, Dax, Sql, Dimensional Modeling, Star schemas

Pyspark, Apache Spark, Databricks, Sql, Python, AWS EMR

Unix, Linux Scripting, Control M, Sql, ELT, Git, Bitbucket, Python, Etl, Airflow, CI CD, Cloud and Native DB

snowflake , Metadata Management, Data Architecture, Kafka, Schema Design, Big Data Technologies, Docker, automation, Python, AWS, Java, Hadoop, Data Modelling, Scala, Sql, Spark, Data Governance, Data Warehousing Concepts, Databricks, Kubernetes, Airflow, feature engineering workflows, ETL processes, AI ML data pipelines, distributed data processing systems, DevOps practices, NoSQL databases, intelligent monitoring, data ingestion frameworks, infrastructure-as-code principles