data discovery , Azure Cosmos DB, Python, Sql, Azure DevOps, vector search, RAG embeddings, AI GenAI data pipelines, data quality frameworks, NoSQL data modelling, Microsoft Fabric

Data Modeling, Sql, AWS Infrastructure, Warehousing, ETL pipelines

Spark, Foundry Ontology, Python and PySpark, ETL pipelines, data models

Pyspark, BigQuery, Sql, DataPlex, ETL Pipelines Development, GCP Data Engineer, Dataforms

Orchestration, S3, Metadata Management, Pyspark, PostgreSQL, Automated Testing, Data Modeling, Lambda, Advanced Sql, Python, RDS, release management, Dynamodb, SQL Server, Redshift, Data Quality, ECS, transformation standards, CI CD, AWS data services, ETL best practices, data cataloging, Step Functions, Monitoring, large-scale data processing, Glue

snowflake , PostgreSQL, SQL Server, Apache Airflow, Azure Data Factory, Spark, Databricks, Python, Azure Functions, Pyspark, Kafka, Rest Apis, Azure Sql, Microsoft Azure data services, ETL ELT pipelines, Delta Lake, Microsoft Fabric, Event Hubs, Great Expectations, Azure Monitor

snowflake , Pyspark, Json, Sql, Pandas, Xml, Python, Data Lakes, AWS Bedrock, Generative AI-assisted development tools, Agentic AI capabilities, Medallion Architecture, Snowflake Cortex, Iceberg, GitHub Copilot, Amazon Q, AI ML services, AWS Data Engineering Services, ETL ELT pipelines, Microsoft Copilot, OpenAI, Relational Dimensional data models

Pyspark, SQL Server, AWS Glue, Apache Spark, Postgres, AWS Athena, Visual Studio, SSIS, Python, Sql, S3, Ec2, Redshift, Matillion, Step Functions, Lambda functions, AWS Analytics services, Data-Pipelines

Git, SQL Server, Sql Development, Azure DevOps, Azure Data Lake Storage ADLS Gen2, ETL ELT pipelines, Synapse Analytics, Azure SQL Database, Azure Data Factory ADF

quality assurance, Data Governance, Data Integration, data pipelines, Databricks Unified Data Analytics Platform, cloud-based data storage, ETL processes