Cloud Services, OLAP, Redshift, Microsoft Azure, Databricks, Api, Oltp, AWS, Problem Solving, Data Quality Checks, Artificial Intelligence Application, Glueing, Liaise With Technical Teams, CI/CD, Stakeholder Management, Communication

Java, Performance Tuning, Apache Spark, Sql, Big Data Technologies, Troubleshooting, large-scale data applications, data processing frameworks, distributed data processing

Performance Tuning, Apis, Mq, Data Warehouse Concepts, Sql, Dimensional Modeling, ELT, Sdlc, Databricks, Azure, Python, Etl, Integration methods, Data Mapping, Job cluster management, pipeline development

Power Bi, Pyspark, Sql, Databricks, Azure cloud services, Python, Azure DevOps, BI visualisation tools, Unity Catalog, Microsoft Purview, data catalogue tools, LakeFlow Jobs

data engineering , product catalogues , Business Intelligence (Bi) Tools, Version Control Systems, Java, Power Bi, Scala, Information Systems, Data Science, Software Engineering, Databricks, Oracle, Azure DevOps, Feature Engineering, legacy database, Computer Science

Technical Documentation, Unix, Orchestration, Data Integration, Shell scripting, Python, Testing, Logging, Exception Handling, Configuration management, Sql, Linux, Etl, Code reviews, Batch Processing, Merge requests, Engineering standards, Branching strategies, Modular design, Cloud platforms, Data pipeline architecture, CI-CD tooling, Command-line tools, CI/CD pipelines, Mentoring

snowflake , Power Bi, SAS, Kafka, Tableau, Informatica, Sql, Nosql, Graph, Azure Data Factory, Kettle, Databricks, Talend, Python, Airflow, Azure Purview, dolphin, R, Vector

data vault , BigQuery, Data Warehouse Architecture, Sql, Dimensional Modelling, dbt, Modern Data Architecture Principles

snowflake , SAS, Databricks, Sql, Azure Data Factory, Tableau, Kafka, Power Bi, Talend, Graph, Python, Nosql, Informatica, Kettle, Vector, dolphin, Airflow, R, Azure Purview

software engineering practices , Shell Scripting, Python, Sql, Etl, Cloud Platforms, Data Pipeline Architecture