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

, 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

Seaborn, Sql, Apache Flink, Apache Airflow, Apache Spark, Pandas, Oracle Database, Presto, Numpy, Tableau, Kafka, Power Bi, Python, Oracle Data Integrator, Scipy, Matplotlib, Oracle Autonomous Data Warehouse, Oracle Analytics Cloud

containerization , Sql, Incident Management, Data Warehousing, Data Architecture, Data Quality, Data Governance, Python, Orchestration, Transformation, Cloud data platforms, Monitoring, Deployment automation, Infrastructure-as-Code, GitOps

Dynamodb, Databricks, Sql, Apache Airflow, CDK, AWS Glue, Apache Spark, Kinesis, Postgres, Kafka, MLops, AWS, Cassandra, Nosql, Python, Terraform, MongoDB, MLflow, Flink

Performance Tuning, Sql, Metadata Management, Devops, MLops, Python, Predictive AI, Cloud-native engineering, Data observability, Cost management, AWS Databricks, Delta Lake, Infrastructure-as-Code