data streaming , Data Modeling, Etl Development, Kafka, Data Architecture, Python, Java, Hadoop, Scala, Big Data, Emr, Sql, Data Quality, Hive, Spark, Data Lake, Data Warehousing, Databricks, Cloud environments, Confluent, R, Real-time processing, Glue, Delta Lake, Athena, AWS data integrations, Data Integrations

Data Warehousing Concepts, Aws Redshift, Apache Kafka, AWS Glue, Database Tuning, Pentaho Data Integration, Python, Aws S3, AI tools, NoSQL DBs, ETL tuning

Pyspark, Data Mart, Query Optimization, Power Bi, Databricks, Data Warehouse, Azure, Sql, Python

Spark SQL, Pyspark, Apache Spark, Node.js, Data Integration, Sql, ELT, Git, Data Migration, Databricks, Data Warehousing, FastAPI, Rest Apis, Python, Etl, Delta Lake

T-sql, Apis, Microsoft Sql Server, Sql, Git, Azure Data Factory, Flat Files, Spark, Replication, Databricks, Python, Oracle-based ERP systems, SaaS platforms, Dimensional modelling, Azure Data Lake Storage, Infrastructure as code, Stored Procedures, Oracle databases, CI/CD

Google Cloud Platform, Kafka, Adobe Analytics, Sql, Cloud deployment, Apache Airflow, Test automation, Google Analytics, Azure, Python, AWS, Cloud migration strategies, Pubsub, OLTP concepts including normalised schema design, Pyspark dataflows, Snowplow Analytics, ETL processes, dbt, OLAP concepts and data model design, Real time streaming pipelines

data quality assurance , Databricks Unified Data Analytics Platform, scalable data processing frameworks, data integration techniques, extract transform and load processes, validation methodologies, cloud-based data platforms, data pipeline architecture