Metadata Management, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture

Data governance and quality assurance practices, Databricks Unified Data Analytics Platform, Building and managing scalable data pipelines and workflows, Data integration and ETL processes, Cloud-based data storage and processing solutions

Hadoop, Pyspark, Kafka, Presto, Spark, Python, AI tools, Pinot, pgvector, Codex, vector databases, Claude, Pinecone, Flink, cloud data warehouses, Hudi, Milvus, Weaviate

snowflake , Pl Sql, Informatica, Python, dbt, Google BigQuery, Teradata

Data Quality, Metadata Management, Data Governance, Python, Sql, workflow orchestration tools, ETL ELT frameworks, AWS cloud platforms, data lake architecture

Pyspark, Kafka, Terraform, Python, Spark SQL, Apache Spark, Sql, Git, Azure Data Factory, Databricks, Spark Structured Streaming, Airflow, OneLake, Warehouse, Pipelines, CI CD, Microsoft Purview, Dataflows, Event Hubs, Unity Catalog, dbt, Lakehouse, Delta Lake, Microsoft Fabric

kimball , snowflake , S3, Dimensional Modeling, Redshift, Mssql, Sql, ELT, MySQL, Python, AWS, Etl, Glue, Athena

Java, S3, Scala, Emr, Redshift, Sql, Lambda, Kinesis, Spark, Python, AWS, Step Functions, Lake Formation, Glue, Athena

Java, Apache Flink, PostgreSQL, Scala, Prometheus, Kafka, Grafana, Apache Airflow, Helm, Kubernetes, Python, Flink SQL, Debezium, StarRocks, Prefect, DataStream API