data engineering , Data Warehousing Concepts, Database Management Systems, data pipeline architecture and design principles, cloud-based data platforms and storage solutions, data integration and ETL tools

Integration Testing, Pytest, Azure Databricks, Numpy, Git, Azure Functions, Pandas, Flask, Microsoft Azure, FastAPI, Rest Apis, Python, Scikit-learn, ETL processes, Data pipelines

Java, Github, Kafka, Sql, Apache Airflow, Jenkins, Terraform, Apache Beam, Python, Etl, Big Query, Cloud Spanner, Cloud Composer, dbt, GCS, Data Flow

Github, Machine Learning, Metadata Management, Pyspark, BI, ELT, Terraform, Advanced Analytics, Azure DevOps, Apache Spark, Sql, Jenkins, Data Quality, Data Governance, Databricks, Azure, Kubernetes, Etl, lineage, Privacy, infrastructure automation, Databricks Workflows, Generative AI, Unity Catalog, DataOps, CI CD pipelines, Delta Lake, compliance frameworks

oracle data pump , Informatica Powercenter, Sql, Python, Sqlalchemy, pyodbc, Airflow, cx Oracle, dbt, SQL Server BCP

snowflake , Numpy, Pandas, Sql, Python, Etl

Databases, Pyspark, AWS Glue, Data Warehousing, Redshift, Python, Airflow, AWS services S3, Data Lake concepts, dbt, Advanced SQL and performance tuning