snowflake , Pyspark, Spark, Artificial Intelligence, Cloud, Etl, Kafka, Airflow

Terraform, Cloudformation, AWS Glue, Etl, ELT, Apache Iceberg, Production-quality code, Infrastructure as code, DevOps practices, Data lakehouse architecture, S3 Tables, CI/CD, Data quality validation

Java, Denodo, Hadoop, Scala, Kafka, HBase, Impala, Sql, Git, Hive, Terraform, Openshift, Spark, Cloudera, Python, Kubernetes, CI/CD automation tools, Airflow, Teradata

Scala, Kafka, Data Lineage, Sql, Spark, Data Governance, Python, Airflow, pgvector, Pinecone, Prefect, OpenSearch, PII handling, Data Pipeline Engineering, Metadata governance

data engineering , Hadoop, Big Data Hadoop, Big Data, Cloudera, Cloudera Impala, Hbase, Sql, Python, Scala, Denodo, Teradata

database performance tuning , Views, T-sql, Microsoft Sql Server, Functions, Etl Design, Triggers, Sql, Data Quality Reconciliation, SQL Server Agent Jobs, Stored Procedures, Indexing, Query Optimisation

release management, Sql, Python, large-scale data concepts, CI CD workflows, distributed data processing frameworks, enterprise cloud security

Java, Denodo, Hadoop, Scala, Kafka, HBase, Impala, Sql, Git, Hive, Terraform, Openshift, Spark, Cloudera, Python, Kubernetes, Airflow, Teradata, CI CD automation tools

Source-to-Target Mapping (STTM), Pyspark, Databricks, Databricks SQL, CI/CD pipeline setup, Git-based version control, Power BI Semantic Models, Delta Live Tables, Incremental load patterns, Unity Catalog, Dimensional modelling, Databricks Assistant, ETL/ELT pipeline development, Oracle-to-Databricks migration, Delta Lake, Data quality frameworks, Databricks Workflows