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

snowflake , Github, Apache Spark, Datadog, Apache Airflow, Databricks, Python, Kubernetes, Apache Hive, Etl, AWS, Apache Iceberg, Prefect, Vector Databases, Temporal, Dagster, Delta Lake

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

.NET, S3, Lambda, Sqs, Sns, Python, Sql, AWS, NoSQL databases, EventBridge

Git, REST, Pandas, Graphql, Pyspark, Spark, Api Integration, Python, Dask, Palantir Foundry

Data Factory, Power Bi, Power Automate, Power Query, Sql, Python, Salesforce, SAP CDS Views, Warehouse, DAX formulas, Azure cloud platforms, Real-Time Analytics, Lakehouse, Microsoft Fabric, Mes

Data Modelling, Pyspark, Web Crawling, Pandas, Python, embedding pipelines, scraping pipelines, async processing patterns, chunking strategies, Amazon Bedrock Knowledge Bases, knowledge base sync orchestration, document ingestion, content synchronisation workflows, metadata enrichment

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