snowflake , Java, Devops, Git, Sql, Python, AWS, AI-assisted development tools

Performance Tuning, Data Warehousing Concepts, Sql, Validation mechanisms, Cost optimization strategies, Data quality checks, Data pipeline orchestration, Google BigQuery, Workflow automation tools, Cloud-based data platforms

ETL tools and data integration techniques, Databricks Unified Data Analytics Platform, Python Programming Language, data modeling and database design principles, cloud platforms and services related to data engineering, data warehousing concepts and practices

snowflake , BigQuery, Redshift, Sql, Query Optimization, Star Schema, Git, Pandas, Docker, Python, Airflow, window functions, IaC, SCD, Dagster, dbt, cloud object storage, CTEs

Sql Queries, Performance Tuning, Data Warehousing Concepts, cost optimization strategies, data quality checks, validation mechanisms, workflow automation tools, cloud-based data platforms, Google BigQuery, data pipeline orchestration

Backup Recovery, Performance Tuning, PostgreSQL, SQL Server, database administration, automation, Oracle, Security, Disaster Recovery Planning, AI models

User Administration, multi-tenancy, Version Control, Advanced Sql, Data Governance, Looker LookML, GCP Knowledge

Github, Servicenow, Power Bi, Power Automate, Pyspark, Azure Databricks, Jira, Sql, Azure Sql, ELT, Jenkins, Azure Data Factory, Azure Data Lake, Python, Azure DevOps, Etl, Microsoft Azure Data Analytics services, Power Apps, CA Workload Automation

Java, ETL Processes

Java, Storm, Hadoop, Scala, Kafka, HBase, Sql, Nosql, Hive, Shell scripting, Spark, Restful Apis