Strong SQL including analytical functions and query optimisation, Fluent use of coding agents and LLM tooling, Testing lineage and governance, ETL and ELT batch and streaming in Python, Production ownership of data systems

Docker, Machine Learning, Data Modeling, Python, Kubernetes, Generative AI, Cloud data platforms, Infrastructure as code, ETL ELT pipelines, Data science tooling, Workflow orchestration

Data Quality, Sql, Performance Tuning, Logging, Pyspark, Power Bi, Etl, Git, ELT, Python, Azure, automated deployment, Semantic Models, secure connectivity, OneLake, Delta Lake, CI CD, secrets management, Fabric Notebooks, Lakehouse, identity access control, Troubleshooting, Microsoft Fabric, Production Support, Lakehouse architecture, alerting, observability, Dimensional Data Modeling, Data Pipelines

Cloud Computing, Nosql, Hadoop, Data Modeling, Spark, Kafka, Data Warehousing, Sql, Python, Etl

Kubernetes, Apache Spark, Hadoop, Numpy, Pyspark, Kafka, Pandas, AWS, Node.js, FastAPI, Azure, Docker, Flask, Data Modeling, Milvus, LlamaIndex, GenAI LLMs, Python Ecosystem, Databricks Delta Lake, LangChain, Pinecone

Pyspark, Apis, SQL Server, Azure Databricks, Jira, Functions, Azure Data Factory, Confluence, MongoDB, Python, Informatica Data Catalog, KeyVault, Logic Apps, Git Repositories, Azure HDInsight, ADLS, Event Hubs, SQL DWH, Analytics Service

data engineering , Machine Learning, Databricks, automation, Sql, Python, API configurations, LLMs, AI coding assistants, data privacy frameworks, cross-border data security protocols

snowflake , Scrum, S3, Agile, SQL Server, SSIS, Data Modeling, Emr, Ssrs, Distributed Systems, AWS, Sns, Iam, Sqs, Oop, Kanban, Athena, cloud-native technologies, scalable data architectures

Azure Data Bricks, Performance Tuning, Pyspark, Data Warehousing, Data Modeling, Sql, ELT, Azure Data Factory, Azure Cloud, Azure Data Lake, Databricks, automation, Python, Etl, Delta Live Tables, Unity Catalog, Delta Lake, Autoloader

Data Modeling, Data Warehousing Concepts, Snowflake Data Warehouse, Data pipelines, Distributed computing environments, Cloud-based data platforms, ETL workflows