Kubernetes, Python, Sql, RAG tool use, Cloud Data Platform, conversational analytics, dbt, BI platforms, Dataform, Infrastructure-as-Code, AI applications

Kubernetes (SKE/AKS), MinIO - S3, Apache Airflow, Devops, Linux, Shell Scripting, Python, Spark, Sql, Java, Core Big Data Platform

Data Engineer, Python, Sql, Pandas, BigQuery, Etl, Docker, Polar

Hadoop, Pyspark, Spark, Data Warehousing Concepts, UNIX, Python, Sql

Java, Spring Boot, Sql, Linux systems, command line operations, Big Data operations

Unix, Data Manipulation Language, Tableau, Json, Python, AWS, Java, Power Bi, Csv, Scala, Apache Spark, Automation, Sql, Git, Linux, Xml, Databricks, Azure, Agent Orchestration, Data storage subsystems, MS Fabric, Normalized dimensional data modelling, Event-Driven Workflows, ETL workflows

Github, Pyspark, Data Lineage, Data Warehouse, ELT, Data Lake, Databricks, Star Schema, Etl, Slowly Changing Dimensions, Role-Based Access Control, Attribute-Based Access Control, Snowflake Schema, Unity Catalog, Delta Tables, Fact and Dimension tables, GitHub Actions, Lakehouse, CI CD pipelines

Advanced Analytics, Machine Learning, Data Warehousing, Data Modeling, Google Cloud, ELT, Data Quality, Data Governance, Azure, AWS, Etl, data engineering best practices, cloud platforms, big data tools, data lakehouse

data warehouses , Java, Cloud Services, Golang, Scala, Data Modeling, Sql, ELT, Apache Airflow, Linux Shell Scripting, Python, Etl, datamarts, NoSQL systems, streaming event-based data pipelines, data management technologies, real-time data processing

Pyspark, Sql, databricks, Data Engineer