Sqlalchemy, Metadata Management, Pyspark, ELT, Pandas, Data Governance, Python, Etl, data warehouse platforms, Airflow, NoSQL databases, lineage tracking

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

Etl Development, Ibm Datastage, Data Warehouse Concepts, Sql Development, Dimensional Modeling, Version Control, Data Integration, Data Transformation, Query Optimization, Oracle Database 19c, Stored procedures, Deployment processes, Production Support

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

snowflake , Java, Hadoop, Pyspark, Scala, AWS Glue, Snowpipe, Kafka, Sql, MySQL, Postgres, Spark, Azure, Python, AWS, R, Snowpark

Apis, Dashboards, Data Cleaning, Automation, Sql, Business Intelligence Tools, Data Visualization, Python, AI tools, Resource planning models, Reporting infrastructure, Workload forecasting, Data pipelines, Capacity models

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

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