data engineering , snowflake , SQL Server, Redshift, Sql Development, Powercenter, Database Technologies, Databricks, Data Stage, Python, AWS, Etl, AI ML concepts, ELT frameworks, Data pipelines, DWH with data modeling

data warehouses , snowflake , Power Bi, Power Automate, Api Integration, Microservices, Devops, Unix Commands, Data Integration, Databricks, Advanced Sql, Data Modelling, Oracle, Python, Data lakes, Power Platform Automation, Qlik replication tool, Teradata, DAX calculations, Microsoft Power Platform

Databricks Unified Data Analytics Platform, ETL processes, Data integration techniques, Data pipeline orchestration, Data quality frameworks, Cloud-based data storage and processing solutions

data discovery , Performance Tuning, Kafka, Data Modeling, Slas, Data Lineage, Python, Google Cloud Platform, Clustering, Sql, Metadata Management, Data lakehouse principles, Streaming architectures, Google BigQuery, Partitioning, Data pipelines, Parquet, Incremental processing, Feature engineering workflows, Dimensional models, Data quality and observability practices, SLOs, Google Cloud Storage, Pub/Sub, Data versioning

Agile Methodology, Pyspark, Sql, Azure Data Factory, Data Warehousing Concepts, Databricks, Python, Cloud data platforms, streaming technologies, Synapse, BFSI Investment domain, CI CD pipelines, ETL ELT pipelines

Mqtt, Cloud Devops, SSIS, Data Integration, Sql, Devops, Git, Azure Data Factory, Databricks, Microsoft Azure, Python, Data Engineering Architecture, Data Lakes, CI CD