Git, Spark, Python Programming, Data Modeling, Databricks, Advanced Sql, Building scalable ETL pipelines, Data warehousing and BI tools integration

Oracle Cloud, RDBMS, Power Bi, Tableau, Workday, Sql, Salesforce

Hadoop, Scala, Jira, Impala, Jenkins, Git, Hive, Confluence, Spark, Agile, Nexus, Advanced Sql, CI CD Tools, Relational Databases, OS UNIX

data engineering , Distributed computing frameworks, Cloud platforms, Data integration and ETL tools, Building and optimizing data pipelines

bigtable , BigQuery, Google Cloud Platform, PostgreSQL, Apache Spark, Kafka, Nosql, MLops, Terraform, MySQL, Apache Beam, MongoDB, DataFlow, Airflow, Dataform, model serving infrastructure, Firestore, Pub Sub, dbt, CI CD pipelines, feature engineering

Devops, Databricks, Microsoft Azure, Sql, Apache Nifi, Dagster, CI-CD

Data Modeling, Pyspark, Sql, Git, Azure Data Factory, Databricks, Data Warehousing, Azure DevOps, GitHub Actions, Synapse Analytics, Delta Lake, Microsoft Fabric

Java, Power Bi, Pyspark, Azure Databricks, Storage, Sql, Identity Management, Git, Ssas, Terraform, Docker, Ansible, Python, Kubernetes, Azure cloud networking, ADLS Gen2, Unity Catalog, Delta Lake, Microsoft Fabric, Compute

Java, S3, Scala, Emr, Redshift, Sql, Lambda, Kinesis, Spark, Python, AWS, Step Functions, Lake Formation, Glue, Athena

data engineering , snowflake , Pyspark, Tableau, Excel, Data Governance, Python, AWS, Cloud Architecture, Sql, Data Quality, Gcp, Powerbi, Databricks, Api, Azure, data integration techniques, Data Operations, Data Technology Architecture, Data Harmonization, dbt, cloud-based databases, Synapse, Data Cataloging, Master Data Management