Pyspark, Dimensional Modeling, Sas Enterprise Guide, Proc Sql, Cloud Storage, Sas Base, Star Schema, Python, Sas Macros, Dataproc, Sql, Git, Iam, Data Warehousing, DataFlow, Etl, SAS Data Sets, Data Pipeline Design, Snowflake Schema, Source-to-Target Mapping, Google BigQuery, Reconciliation, dbt, Performance Optimization, Cloud Composer Airflow, ELT Development, Data Validation

Apache Airflow, Java, Hadoop Ecosystem, Scala, Apache Spark, Python, Apache Nifi, Apache Iceberg, Apache Ozone, Cloudera distribution

Data Modeling, Dashboarding, Sql, ELT, Data Quality, Data Visualization, Python, Etl, SaaS Enterprise business models, Data processing performance tuning, Logging specifications, Product analytics, Anomaly detection solutions

Data Modelling, Pyspark, Python, Sql, DevOps practices, Delta Lake, Data quality frameworks, Databricks Platform, Streaming data processing

snowflake , S3, Redshift, Jenkins, Lambda, Spark Streaming, Apache Kafka, Gitlab, Python, AWS, Alation, Data governance principles, Glue, Data quality mesh

Pyspark, PostgreSQL, AWS Glue, Nosql, Numpy, Terraform, Python, AWS, Pyspark, Cloudformation, Dynamodb, Data Architecture, Sql, Pandas, Aws Cli, Amazon Redshift, Apache Kafka, Databricks, Kubernetes, Airflow, AWS CDK, Dask, dbt, Modern data processing frameworks, Iceberg, Cloud-native solutions, Data lake architectures, Delta Lake

Powershell Scripting, Sql, Azure Synapse, Git, Azure Data Factory, Azure Data Lake, Databricks, Sap Odata, Etl, Azure Blob, Agile Software Development methodologies, Azure Storage Explorer, Data Factory pipelines, streaming technologies, SQL stored procedures

containerization , Gcp, Aws Services, Python, Azure, feature store, model registry, MLOps architecture, data ingestion, cloud platforms, alerting systems, data pipelines, DevOps principles