data integration techniques and best practices, data storage solutions, Databricks Unified Data Analytics Platform, big data processing, distributed computing frameworks, data pipeline development and management within cloud environments

snowflake , BigQuery, Agile Methodologies, Pyspark, Data Warehousing, Apache Spark, Data Modeling, Dimensional Modeling, Redshift, Sql, Azure Synapse, Git, Gcp, Azure, Python, AWS, Airflow, workflow orchestration tools, data pipeline development, CI CD, ETL ELT tools

snowflake , Apache Airflow, Pyspark, Amazon Kinesis, Apache Kafka, Python, Sql, Delta Lake on Databricks, Data Quality Validation, Databricks Workflows

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

Java, Hadoop, Scala, Nodejs, Emr, Data Modeling, Sql, Hive, Spark, Python, AI code generation tools, Warehousing, ETL pipelines

Java, Hadoop, Scala, Big Data Technologies, Nodejs, Emr, Data Modeling, Sql, Hive, Spark, Python, AI code generation tools, ETL pipelines

San, Performance Testing, Postgresql, Python

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

Unix Shell Scripting, Database Security, Lambda, Tableau, Version Control Systems, Power Bi, Etl Tools, Informatica, Git, S3, SQL Server, Data Modeling, Aws Services, Github, Sql Development, Database Design, Python, Oracle databases, Control-M, T-SQL development, PL SQL development, AI-assisted development, CI CD pipelines, data visualization tools, Step Functions, data quality controls