S3, Hadoop, Pyspark, PostgreSQL, Scala, Apache Spark, Svn, Autosys, Sql, HTML, Git, Hive, Elasticsearch, Databricks, Python, Unix Shell Scripting, Airflow, AWS EMR, ETL pipelines

Database Management Systems, Data Warehousing Concepts, Data pipeline architecture, Data quality assurance and validation techniques, Data integration strategies, Data Modeling Techniques and Methodologies, Data governance and compliance standards

snowflake , Star Schema, Python, Sql, Etl, Advanced SQL querying, Snowflake schema

snowflake , Informatica, Azure, Python, Sql, Airflow

Java, Streaming, Github, Data Modeling, Kafka, Sql, Apache Airflow, Jenkins, Gcp, Docker, Terraform, Data Warehousing, Apache Beam, Kubernetes, Python, Etl, Big Query, Cloud Spanner, Cloud Composer, dbt, GCS, Data Flow

Spark SQL, Distributed Computing, Pyspark, Apache Spark, Data Governance, Data Warehousing, Sql, ELT, Gcp, Agile, Databricks, Azure, Python, Etl, AWS, Databricks certification, Streaming frameworks, Auto Loader, Unity Catalog, Delta Lake, Lakehouse architecture, CI/CD for data pipelines

Cloud-native data architectures (Azure preferred), Azure Data Factory, Pyspark, Databricks, Python, Sql, Apache Airflow, Adf, Azure Logic Apps, Delta Lake, Event triggers, LLM data pipelines, Orchestration frameworks, MLflow, ADLS Gen2 Blob Storage, ETL/ELT patterns

S3, Terraform, Docker, Spark, Emr, Kubernetes, Python, AWS, SageMaker, Glue, EKS

Data Services, Data Architecture, API design, Data Modeling, AI ML concepts, data pipelines, data-serving APIs, low-level system design, data platforms, data ingestion