data engineering , cloud platform , snowflake , Power Bi, Power Platform, Databricks, Technology, Data on Cloud-DataStore

Spark SQL, Pyspark, ELT, Git, Flask, Databricks, Python, Etl, Medallion Architecture, Unity Catalog, Dash, Delta Lake

Azure Databricks, Sql, Azure Data Factory, Azure Synapse Analytics, Spark, Data Lake, Azure Machine Learning, Python, Generative AI concepts, Infrastructure as Code, Azure OpenAI Service, CI CD, AI ML integration, Azure AI Services, Azure Cognitive Services

Pyspark, Apache Spark, Databricks, Data Warehousing, AWS, ELT, Etl, AWS EMR, Big Data Processing, Cloud-native Analytics

data engineering , Cloud Technologies, Cloud Migration, Data Processing, Databricks Platform, AI Solution Implementation

Pyspark, AWS, Api, Azure, Micro Services, Scala, Databricks SQL, Azure services, Event Driven Architecture, Data Lakehouse, Data engineering pipeline, DevOps pipelines, Cloud-based development

Azure, Databricks, Sql, AWS, Api, Micro Services, Scala, Pyspark, Event Driven Architecture

Pytest, Pyspark, PostgreSQL, Kafka, Big Data Technologies, Emr, Sql, Django, Linux, Docker, Flask, MongoDB, FastAPI, Python 3, AWS, vector search, embeddings, DocumentDB, agent-based features, EKS, Llm, RAG, Delta Lake

Spark SQL, Distributed Computing, Data Security, Performance Tuning, Pyspark, Apache Spark, Data Warehousing, Data Modeling, Sql, ELT, Gcp, Data Architecture, Data Governance, Databricks, Azure, AWS, Etl, Unity Catalog, modern data engineering, optimization of Spark Databricks workloads, Delta Lake, Databricks Workflows