Java, Devops, Cloud Automation, Azure, Python, Google Cloud, Kubernetes, AWS

Amazon Web Services (AWS), Java, Hadoop, Scala, Nodejs, Emr, Data Modeling, Sql, Hive, Spark, Python, Agentic AI tools, AI code generation tools, ETL pipelines

Apache Airflow, Postgis, Docker, PostgreSQL, Apache Spark, Python, Sql, DuckDB, TimescaleDB

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

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

Data Modeling, Schema Design, Sql, Data Warehousing, Python, Git, Relational Database Design, ETL Concepts, Data Pipeline Architecture

snowflake , Scala, Data Modeling, Sql, ELT, Git, Gcp, Spark, Databricks, Azure, Python, AWS, Etl, ML pipelines, Delta Lake, automated testing frameworks, infrastructure as code, data pipeline orchestration

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