Apache Flink, Google Cloud Platform, Data Modelling, Data Warehousing, Database Management Systems, Sql, Spark, Apache Kafka, Databricks, batch and streaming workflows, Airflow, dbt, ETL pipelines

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

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

Unix, Git, Linux, Shell Scripting, Python, Data Integration, Sql, Etl, Data Quality Monitoring, CI CD Pipelines, Data Pipeline Architecture

Git, shell scripting, Database Design, Gitlab, Python, Sql, Linux Unix environments, performance optimisation, data processing workflows, CI CD pipelines, ETL pipelines

snowflake , Azure Synapse, Power Bi, Databricks, Sql, Python

Sql, Performance Monitoring, Release management, Python, Advanced search solutions, Enterprise data governance, Deployment automation, Cloud ecosystem, Backend data architecture, Distributed data processing frameworks, Data ingestion and transformation pipelines, Enterprise cloud security, Incident resolution, Security and compliance standards, CI/CD workflows

data engineering , Data Modelling, Hadoop, Hive, Gcp, Spark, Big Data Technologies, Data Architecture, Azure, Etl, AWS, Data Pipelines

software engineering practices , Unix, System Migration, Sql, Git, Linux, Data Integration, Shell scripting, Gitlab, Python, Testing, Etl, Logging, Workflow orchestration tools, Code reviews, Documentation, Cloud platforms, CI/CD pipelines, Large-scale data processing, Error handling, Data pipeline development, Modernisation

Data Architecture, Hadoop, Big Data Technologies, Etl, AWS, Hive, Azure, Gcp, Data Modelling, Spark, Data Pipelines