Sparksql, Data Warehousing Concepts, Sql, Hive, Big Data Technologies, Bash, Python, Hadoop, Pyspark, DataFrame, Airflow

Snaplogic, Boomi, Workato, Sql, Azure Data Factory, Data Governance, Data Privacy, Python, Data Profiling, Data Analysis, Fabric Azure cloud platform, MDM implementations, Data Mapping, ETL processes

data engineering , AWS, Spark, Pyspark, Python, Sql, Advanced Sql, Etl, Data Warehousing, Data Modeling, Data Lakes

Data Modeling, Pyspark, Data Extraction, Sql, Azure Synapse, Data Quality, Azure ML, Azure Data Factory, Databricks, Data Security, Azure DevOps, Etl, FiveTran, Git-based workflow, GCP Cloud Composer, Vertex AI, GCP BigQuery, GCP Cloud Run, GCP DLP

Data Security, Data Governance, Microsoft Purview, ETL processes, Data quality management, Compliance standards, Data pipelines, Cloud-based data platforms

snowflake , BigQuery, Terraform, Docker, Sql, Python, Google Cloud Platform GCP, ETL ELT Pipeline Development

Sql, Databricks, Data Modeling, Github, Pyspark, Python, Unity Catalog, dimensional models, file-based connectors, batch APIs, CI CD, Auto Loader, SCD patterns

S3, Dynamodb, Sql, ELT, Lambda, Cloudwatch, Amazon Redshift, Iam, Wlm, Etl, AWS data services, Glue

Hive, Hadoop, Pyspark, Data Warehousing Concepts, Bash, Sparksql, Sql, Python, Big Data Technologies, Airflow, DataFrame

BigQuery, Apis, Power Bi, Tableau, Data Modeling, Sql, Python, event tracking systems, Metabase, ETL ELT pipelines, Looker Studio, dashboarding and visualization tools, streaming pipelines