business automation , Devops, Cloud, Data Analytics, Application Product Engineering, quality engineering, Data MLOps

business automation , Devops, Cloud, Data Analytics, Application Product Engineering, quality engineering, Data MLOps

data products , stream processing , snowflake , Data Modelling, API design, data pipelines, workflow orchestration, secure-by-design delivery, AI and analytics enablement, event-driven patterns, CI CD, performance optimisation, data models, distributed systems fundamentals, access controls, testing strategies, feature flags, cloud data platforms, integration patterns, cost-aware design, reusable data services, observability

Hadoop, AWS Glue, Avro, Sql, ELT, Big Data Technologies, Hive, shell scripting, Ansible, Spark, Bamboo, Python, AWS, Etl, orc, Parquet, Airflow, Claude AI, GitHub Copilot, AI-assisted development tools, dbt

data engineering , Data Transformation, Power Bi, Data Modeling, Sql, ELT, Git, Microsoft Azure, Python, Etl, Azure DevOps, table maintenance, data quality checks, OneLake, data pipelines, schema validation, Spark notebooks, cloud data platforms, ADF pipelines, Lakehouse tables, Microsoft Fabric

Python, SQL Data Modelling, Data Validation Reconciliation, ETL ELT Data Pipeline Development, Azure Self-Hosted Integration Runtime SHIR, Azure Data Factory ADF

data vault , Apache Spark, Data Warehouse, Sql, Apache Airflow, Hive, Data Lake, Python, Snowflake schema, Medallion Architecture, DLT, Data Lakehouse, Iceberg tables, dbt

Data Modelling, Cloud Services, Python, Sql, Data Pipelines

Scala, Python, Databricks Unified Data Analytics Platform, cloud platforms and services related to data storage and processing, data integration and ETL tools, data modeling and database design principles