data warehouses , snowflake , Kinesis, Power Bi, AWS Glue, Databricks, Azure, AWS, Data Lakes, Event Hubs, Microsoft Fabric

Azure Cosmos DB, Profisee, Python, Azure Data Lake Store, Microsoft Azure Data Services, Azure Purview, Github Copilot, Azure Database for PostgreSQL, Unity Catalog, Large Language Model, Azure SQL DB, Azure Database for MySQL, Azure SQL Managed Instance

snowflake , S3, Pyspark, Kafka, Vpc, Lambda, Kinesis, Ec2, Docker, AWS, RDS, Cloudformation, Dynamodb, Redshift, Sql, Cloudwatch, Autoscaling, Data Lake, Etl, Aurora, SG, CloudTrail, API GW, CDC processing, Dms, Lake Formation, Glue, Nifi

Spark, Data Warehousing, Data Modeling, Sql, Python, Etl, Relational Database Design, reverse-ETL, Azure Technologies, batch data processing, micro-batch data processing

Ml, Metadata Management, Distributed Systems, Data Modeling, Sql, Cloud Computing, Nosql, Data Architecture, Data Governance, AWS, Lakehouse Design, Ai, Palantir Foundry

snowflake , Data Warehousing, Data Architecture, Tableau, Solution Design, Scrum, Data Analytics, Power Bi, Agile Methodologies, Azure Data Factory, Qlik, Data Governance, Databricks, Data Integration, Azure, data platform modernization, data lakes, Synapse Analytics, Kanban, data management principles, Snowflake architecture, governance frameworks, Quality Management, master data solutions, cloud data platforms

data engineering , Rust, Scala, Data Structures, Kotlin, Deep Learning, Algorithms, Distributed Computing, MLops, Python, Large-Scale System Design, Modern Data Engineering Technologies

Ml, Microservices, Databricks, Azure, AWS, data, event-driven, serverless, cloud platforms, Ai, application architectures, Lakehouse, RAG, LLM orchestration, agentic architectures

cloud platform , stream processing , Data Modeling, Data Architect

Metadata Management, Data Modeling, Spark, Kafka, Python, Sql