Data Modeling, Sql, data pipeline development, Snowflake Data Warehouse, ETL processes, data quality frameworks, database design principles, data querying techniques, data governance practices

Java, Distributed Systems, Hadoop, Scala, Big Data, Shell Scripting, Svn, Git, Docker, Linux, Ansible, Openshift, Agile Development, Databricks, Azure, Kubernetes, Python, AWS, Source Code and Version Control systems, cloud platforms, infrastructure automation, CI CD pipelines, horizon

data engineering , Power Bi, Power Automate, Data Warehousing, Data Integration, Sql, Power Apps, data modeling best practices, API data integration, error logging, error handling

data engineering , Databricks, Python, Sql, AWS, Etl, CI-CD orchestration

unstructured data , AI ML, Data Quality, embeddings, vector search, Generative AI, data pipelines, vector databases, data infrastructure, data engineering solutions, AI-assisted software development tools, modern AI ML engineering practices, Document Processing, AI-powered software development tools, LLM-based applications, semantic search, data quality monitoring

Data Modeling, Pyspark, Tableau, Sql, Powerbi, Data Warehousing, Databricks, Python, GenBI, Airflow, AWS Cloud Services, ETL Integration, Medallion Architecture, GenAI solutions

Github, Performance Tuning, Data Factory, Pyspark, Azure DevOps, Power Bi, Apache Spark, Sql, Metadata Management, Data Warehousing, Databricks, Data Pipelines, Warehouse, Microsoft Fabric components, Governance practices, Automated testing and validation frameworks, Data quality reconciliation, Databricks Workflows, Semantic Models, Lakehouse Architectures, Data Integration Frameworks, ETL ELT Solutions, Lakehouse, CI CD pipelines, Delta Lake, Microsoft Fabric, Automation and Orchestration