S3, Data Warehouse, Lambda, Docker, Data Lake, Kubernetes, Data Ingestion, Compute Engines, Processing and Orchestration tools, AWS PaaS platforms, AWS Cloud data-based development and migration, Amazon EKS, Cloud Components, Dms, Load balancer setup, Cloud and infrastructure components, Glue, Backup DR security and compliance, Serverless, Applications Migration to Cloud, CI CD Integration and deployment, Lake House Design Implementation, Cloud native Architecture

data engineering , Pyspark, Databricks Unified Data Analytics Platform, Building and managing scalable data pipelines and workflows, Data integration and ETL best practices, Data storage solutions, Data modeling techniques

Azure Data Factory, Python, Sql, Power Bi, Data Integration, SQL Server, Azure Data Lake, Data Modeling, Business Intelligence systems, ETL pipelines, Data ingestion, Event processing, Workflow orchestration, Real-time processing

Cloud platforms (AWS preferred), Power Bi, Pyspark, Apache Spark, Tableau, Data Modeling, Sparksql, Data Warehousing, Sql, Seaborn, Matplotlib, Data Integration, Databricks, Python, ETL processes

data vault , Version control (Git), Azure Data Factory, Docker, Scala, Databricks, Kubernetes, Python, Sql, Dimensional Modeling, Automated Testing, Query Optimization, Airflow, Azure Data Services, Databricks Workflows, Event-driven systems, Data pipeline orchestration tools, ETL/ELT best practices, Streaming architectures, Cloud environments, Microservices architecture, CI/CD pipelines, Real-time data processing, Data integration patterns, Data modeling techniques

Git, Unix Shell Scripting, Ab Initio, Data Integration, Etl, Data Warehousing, Cloud Migration, Teradata