Data Mining, Data Warehousing, Excel, Python, Sql, Etl

Java, Hadoop, Flume, Pig, Mapreduce, Nosql, Tensorflow, Hive, Javascript, Spark, MongoDB, Python, Go, SparkML

data engineering , BigQuery, Sql, DataFlow, GCP Data Services, Spark Framework

Pyspark, Apache Spark, Azure Databricks, Data Modeling, Data Warehousing, Sql, Git, BI tools integration, Azure Blob Storage, Denormalization, Azure Data Lake Storage, Normalization, ETL pipelines

NRT - Kafka, Metadata Management, Big Data, Python, Data lineage techniques, Master data management, Data modeling methodologies

data engineering , Cobol, Unix, Blaze, Sql, wTMS, TRIAD

S3, Data Modeling, Redshift, Sql, Cloudwatch, Iam, Spark, Python, Etl, AWS, Airflow, Glue

S3, Redshift, Sql, Cloudwatch, Iam, Spark, AWS CodePipeline, Python, AWS, Etl, Airflow, AWS Cloud Formation, Glue, AWS CodeDeploy

Data Warehousing Concepts, Databricks Unified Data Analytics Platform, cloud platforms and services related to data storage and processing, data integration tools and techniques, ETL processes, data governance and data quality best practices

BigQuery, Google Cloud Platform, Apache Spark, Dataproc, Sql, ELT, Cloud Storage, DataFlow, Python, Etl, Airflow, Pub Sub