Power Bi, Pyspark, Databricks, Azure, Sql, Azure DevOps, Delta Lake, CI CD

Hadoop, Spark, data pipeline, Azure, Python, Sql, Google Cloud, AWS, ETL processes, cloud data platforms

Metadata Management, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture

data engineering , Pyspark, Data Warehousing, Sql, Nosql, RDBMS, Iam, Python Programming, Databricks, VPC security groups, ETL data processing, encryption mechanisms, AWS cloud development, cloud security best practices

snowflake , Unit Testing, Pyspark, Schema Design, ELT, Azure Data Lake, Data Profiling, Python, BigQuery, Data Modelling, Apache Spark, Sql, Data Quality, Git, Databricks, Aws S3, Etl, Airflow, Great Expectations, AWS Glue DataBrew, Data Validation, dbt, Dagster, Google Cloud Storage

Data governance and quality assurance practices, Databricks Unified Data Analytics Platform, Building and managing scalable data pipelines and workflows, Data integration and ETL processes, Cloud-based data storage and processing solutions

Dependency Injection, Java, BigQuery, Apache Flink, Google Cloud Platform, Linux, PostgreSQL, Kubernetes, Sql

snowflake , Pl Sql, Informatica, Python, dbt, Google BigQuery, Teradata

Data Quality, Metadata Management, Data Governance, Python, Sql, workflow orchestration tools, ETL ELT frameworks, AWS cloud platforms, data lake architecture