Document Databases Working knowledge of MongoDB, ETL Tools Proficiency in Ab Initio GDE EME Co Operating System, Unix Linux Scripting, SQL PL SQL Querying, Testing QA Exposure to SIT E2E and OAT testing cycles, Messaging Systems Experience with IBM MQ Apache Kafka, Agile Delivery Experience with JIRA, Scheduling Tools Familiarity with Tivoli Workload Scheduler TWS, Security Compliance Awareness of access control vulnerability assessments

.NET, data warehouses , Spark SQL, Power Bi, Azure Log Analytics, Powershell Scripting, Hive, Azure Data Factory, Data lakes, Microsoft Azure Data platform, Azure SQL Data Warehouse, Azure Storage Services, Azure Application Insights, Data Bricks, Stream Analytics, data marts, Event Hubs, Azure SQL DB, Azure Analysis Services

S3, RDS, Pyspark, Databricks, Emr, Redshift, Python, Sql, AWS, Etl

Aws Lambda, Cloudwatch, Terraform, Amazon S3, Iam, AWS Glue, Python, Sql, AWS Step Functions, CI CD, CloudTrail

Data Modeling, Pyspark, Apache Spark, AWS Glue, Sql, Git, Azure Data Factory, Gcp, Docker, Azure Data Lake, Data Warehousing, Azure, Python, AWS, Etl, Airflow, GCP BigQuery

Spark SQL, Pyspark, Spark, Databricks, Python, Sql, GitHub Actions, infrastructure-as-code, Delta Lake, Unity Catalog

snowflake , Power Bi, Tableau, Redshift, Sql, ELT, Azure Data Factory, Postgres, Databricks, Python, Etl, Aws S3

Api Management, Apache Spark, Azure Databricks, Azure Data Factory, Terraform, Delta Lake Architecture, Azure Data Lake Storage Gen2, Service Principals, Azure Key Vault, Unity Catalog, Databricks Asset Bundles, rbac, CI CD pipelines, Event Grid, Azure Data Services

Apache Airflow, Metadata Management, Pyspark, Big Data, Data Lake, Data Warehousing, Data Governance, Sql, AWS

Data Governance, Data Modeling, Sql, Python, data orchestration workflows, data quality frameworks, distributed data processing frameworks, ETL pipelines