Neo4j, Databricks, Python, MCP integration, pgvector, MCP prompt eval tooling, LLM cost governance, LLM orchestration, vector databases, RAG pipelines, graph stores

data engineering , BigQuery, Analytics Delivery, Jira, Sql, ML AI, Cloud Data Warehousing, Agile Delivery

Power Bi, Sql, ELT, Apache Airflow, Python, Etl, Airbyte, Google BigQuery, Looker, DataOps, dbt, LookML

snowflake , Machine Learning, Sql, Tensorflow, MLops, Pytorch, Netsuite, Spark, Databricks, Python, Salesforce, AI tools, scikit-learn, dbt, Fivetran

Programming: Java, Data platforms: Snowflake, Data technologies: Spark, Databricks, BigQuery, Sql, Python, Kafka, Redshift, Airflow

Gcp, Azure, Python, Sql, AWS, DataOps, dbt, Data engineering best practices, CI/CD, Data pipelines

Google Cloud Platform (GCP), Hadoop Ecosystem, BigQuery, Scala, Apache Spark, Kafka, Dataproc, Data Modeling, ELT, Cloud Storage, DataFlow, Etl, Airflow, pipeline orchestration, Pub/Sub

data engineering , Google Cloud Platform, Digital Transformation, Cloud Migration, Data Quality, Data Warehousing, Microsoft Azure, Databricks, Data Governance, AWS, Etl, Data Lakes, Data Pipelines, Analytics, Advanced Analytics Platforms, Business Intelligence Reporting, ELT Frameworks

Python, Sql, ELT, Etl, Azure Synapse Analytics, Azure Data Factory, Devops, Git, Scala, Azure DevOps, Azure SQL Data Lake Storage

snowflake , Github, BigQuery, Kafka, Node.JS, Kotlin, JIRA, Microservices, Git, Typescript, Confluence, Presto, MySQL, Functional Testing, Debugging, Postgres, Spark, Python, Etl, Druid, service-oriented architectures, RESTful API design, SQL databases