Power Bi, Pyspark, Agile Scrum, Tableau, Databases, Git, Data Warehousing, Informatica Powercenter, Python, Airflow, Data Lake concepts, Advanced SQL and performance tuning, IICS, dbt, CI/CD

Pyspark, AWS Glue, Data Modeling, Emr, Avro, Autosys, Sql, Cloudwatch, Terraform, Etl Tools, Databricks, Python, AWS, Airflow, Parquet, AWS Lake Formation, Iceberg

Azure, Pyspark, Sql, Databricks, Data Engineer

S3, Github, Pyspark, Lambda, Ec2, Kinesis, Docker, Shell scripting, Python, AWS, Scala, Redshift, Sql, Git, Kubernetes, GenAI, Airflow, AI coding assistants, LLM tools, RAG pipelines, LangChain, prompt engineering, dbt, Glue, LlamaIndex

Github, Pyspark, Pandas, Numpy, Gcp, Docker, Databricks, Azure, Python, AWS, scikit-learn, Great Expectations, Kedro

Orchestration, Java, Power Bi, Performance Tuning, Scala, Kafka, Dimensional Modeling, Sql, Spark, Python, Flink, CI CD, Beam, incremental processing, access controls, Cube.dev, data-quality testing, data partitioning, Production Monitoring

Devops, Machine Learning, Pyspark, Apache Spark, Azure Databricks, Sql, Python, Azure Synapse SQL Server, Generative AI, RAG frameworks

snowflake , Informatica, Data Warehousing, Redshift, Databricks, Talend, Python, Etl, Aws S3, Airflow, AWS EMR, Luigi, Business intelligence, Azkaban, Athena

snowflake , Java, Data Factory, Performance Tuning, Scala, Data Governance, Sql, Metadata Management, Spark, Python, OneLake, Access Control, Snowflake Snowpipe Streaming, Fabric Warehouse, Fabric Lakehouse, Microsoft Purview, Snowpark, Snowflake Tasks, Azure Event Hubs, Lakehouse architecture, Data quality frameworks, Microsoft Fabric, CI/CD practices for data pipelines