Azure Data Factory, Data Warehousing, Databricks, SSIS, Sql, Data Integration, Etl, Data Transformation, Data Quality Frameworks, Monitoring and Observability

stream processing , Java, Golang, Data Transformation, Scala, Kafka, Sql, Spark, data structures, Python, Airflow, NoSQL databases, message queuing, Root Cause Analysis, workload management, big data tools, Relational Databases, unstructured datasets, data sets, metadata dependency, cloud-based data warehouse

Pyspark, Performance Tuning, Apache Spark, Sparksql, Sql, Databricks, Python, AWS, Scaled Agile methodologies, workflow orchestration, Data Fabric, Data Mesh

snowflake , Github, PostgreSQL, React, Terraform, AWS, Bi Tools, Sql, Ruby On Rails, Etl, CI CD, cross-functional initiatives, RAG ingestion pipelines, Fivetran, BI reporting dashboards, Git-based workflows, analytics platforms, Airbyte, vector store management, Semantic Layer, infrastructure-as-code, ELT pipelines, dbt, embedding generation

, Spark, Databricks, Sql, Emr, Kafka, Hive, Redshift, Athena, Scalable data pipelines, Airflow, Micro-services architecture, Streaming pipelines, Flink, Column stores, AWS data services, Apache projects, Relational Databases

snowflake , Data Warehousing Concepts, Dimensional Modeling, Sql, Etl, ELT, data engineering tools, AI-assisted development tools, generative AI technologies, BI and analytics platforms

composer , BigQuery, Spark, Dataproc, Python, Sql, data fusion, DataOps, GCS, Dataform

Kafka, Sql, Gcp, Spark, Databricks, Azure, Python, AWS, Airflow, CI CD, Unity Catalog, infrastructure-as-code, dbt, Delta Lake

Sql, Triggers, python, cloud, Terraform, Bash