Azure Data Factory, Power Bi, Pyspark, Dax, Sql, Microsoft Fabric

data engineering , Oracle), SQL & Python, Data Warehousing (Redshift, SQL Server, Aws Cloud, Data Pipeline Architecture

amazon dynamodb , snowflake , Cassandra, Amazon S3, PostgreSQL, AWS Glue, Docker, Neo4j, Python, Aws Lambda, Oracle Sql Server, Apache Spark, Sql, Git, Amazon Redshift, Sqs, Apache Kafka, Databricks, MongoDB, Amazon Athena, AWS Step Functions, GraphDB, Amazon SNS, Amazon Neptune, Amazon ECS Fargate, AWS Cloud Technologies, CI CD pipelines, Microsoft Fabric

snowflake , Aws Lambda, BigQuery, Agile Methodologies, Emr, Redshift, Sql, Spark, Python, GCP Dataflow, Pub Sub, Glue

data warehouses , Spark SQL, Metadata Management, Data Security, Pyspark, Apache Spark, Sql, ELT, Encryption, Iam, Agile, Python, Etl, GenAI, lineage, Delta Live Tables, Unity Catalog, Databricks Lakehouse Platform, data lakes, medallion architecture, Delta Lake, Governance, Databricks Workflows

Java, Github, Data Modeling, JIRA, Cloud Computing, Numpy, Pandas, Matplotlib, Autosys, Databricks, Azure, Python, AWS, Postgres DB, Scikit-learn, SAlib, AIRFLOW, Data Analysis

snowflake , Java, Data Modelling, Apache Spark, Sql, Apache Airflow, Gcp, Databricks, Azure, Python, AWS, Data Warehousing principles, ETL processes