Power Bi, Pyspark, PostgreSQL, SQL Server, Sql, ELT, MongoDB, Cosmos DB, Azure, Oracle, Python, AWS, Etl, Airflow, Microsoft Purview

Pyspark, Sql, ELT, Pandas, Gcp, Data Lake, Azure, Python, AWS, Etl, data orchestration tools, Relational Databases, non-relational databases, Medallion architecture

Database Technologies, Pyspark, Data Warehousing Concepts, Data Modeling, Sql, Etl, Apache Spark, ELT

Adf, Sql, ELT, Microsoft Azure, Databricks, Kubernetes, Python, Etl, Airflow, embeddings, RAG systems, database integrations, vector databases, data lakehouse architectures, unstructured data processing, document parsing

snowflake , Databricks, Sql, ELT, Pyspark, Pandas, BigQuery, Etl, AWS, Python, Azure, Gcp, Git, Redshift, Prefect, Airflow, dbt, Dagster, Iceberg

snowflake , Unix, Cron, S3, Apis, Csv, Data Warehousing, Json, Sql, ELT, Lambda, Git, Ec2, Linux, Kubernetes, Python, Etl, AWS, Airflow, Matillion

Data Profiling, Sql, Data cleansing and standardization, Scorecards and metrics, Informatica PowerCenter Cloud Data Integration, Rule development, Data quality frameworks and best practices, ETL data pipeline concepts

Pyspark, Data Governance, Metadata Management, Databricks, Databricks SQL, Cloud-based data engineering, MLflow, Modern lakehouse architectures, Unity Catalog, Databricks Workflows and Jobs, Data Quality frameworks, Delta Lake, Machine learning techniques for anomaly detection

Machine Learning, Apis, Sql, Numpy, Pandas, Data Visualization, Python, AWS, Data Analysis, Scikit-learn, cloud platforms, ETL processes, Statistics, data ingestion