Shell, Scala, Apache Spark, Databricks, Python, Sql, DevOps practices, CI CD pipelines, Microsoft Azure Data Platform

Power Bi, Pyspark, Sql, ELT, Azure Data Factory, MLops, Azure Synapse Analytics, Spark, Data Integration, Python, Etl, data quality management, Medallion Architecture, Monitoring, Lakehouse methodologies, Azure Data Lake Storage, Security, DataOps, performance optimization, Microsoft Fabric, Governance

Pyspark, Sql, Azure Data Factory, Etl Tools, Databricks Unified Data Analytics Platform, data integration techniques, Python Programming Language, Auto Loader, Delta Live Tables, cloud platforms and services related to data engineering, data warehousing concepts and practices, Databricks Unity Catalog

data wrangling , Github, Data Modeling, Apache Spark, Sql, ELT, Data Quality, Powerbi, Linux, Databricks, Data Governance, Azure, Dax, Python, Etl, AWS, Data Pipelines

Python, Sql, Etl, ELT, Cloud data warehouses, Data pipelines

data engineering , Sql, Etl

Data Quality, Data Migration, Power Bi, Spark, Data Warehousing, Azure Databricks, Python, Sql, ELT, Etl, Data Validation

S3, Github, Ssrs, AWS Glue, Dynamodb, SQL Server, Jira, SSIS, Lambda, Batch, Advanced Sql, Step Functions, Data quality validation

data engineering , snowflake , Sql, ETL/ELT, AI/ML