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

data engineering , Github, Apache Flink, AWS Glue, AWS Athena, Sql, Terraform, Spark, Apache Kafka, Databricks, Gitlab, Python, Airflow, AWS EMR, multi-hop medallion architecture, Unity Catalog, dbt

data engineering , object storage , Kafka, Apache Airflow, Elasticsearch, Gitlab, Python, Java, Hadoop, Scala, Jenkins, Hive, Spark, Aws S3, orc, data virtualization tools, Dremio, relational RDBMS, IBM COS, distributed data processing frameworks, Spark Compute, modern storage formats, Parquet, Airflow orchestration, NoSQL databases, HDFS, Iceberg

Data Modeling, Sql, Cloud Architecture, Data Warehousing, Big Data, ETL Processes

Ml, Pyspark, Datamodelling, Azure Data Bricks, Data Architecture, Sql, ELT, Etl, CICD Pipelines, Ai

Database Design, Tcp, Kafka, Data Modeling, Http, Json, Avro, Sql, Big Data Technologies, Docker, Xml, Data Warehousing, Kubernetes, Etl, Cloud platforms, NiFi architecture

snowflake , Kafka, Rabbitmq, Databricks, CrewAI, LangChain, pgvector, Pinecone, Google BigQuery, Microservices architecture, prompt engineering, AutoGen, semantic kernels, Agentic AI, Milvus, Microsoft Fabric, AWS Kinesis

Data Architecture, Data Warehousing, Data Modelling, Data Governance, Etl, Gen AI, Infrastructure Design

Replication, Backup, Cassandra, Performance Tuning, PostgreSQL, Dynamodb, SQL Server, Redis, Nosql, High Availability, RDBMS, MySQL, MongoDB, Cosmos DB, Oracle, Indexing, disaster recovery strategies, SQL data modeling, AWS database services